{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Output/Committee Delay.APPENDIX D RESULTS.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}25 Dec 2024, 21:59:33
{txt}
{com}. 
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. **** JSB UPDATED DATABASE: ADDING EXECUTIVE NOMINATION POSITIONS COVERED IN OSTRANDER DATABASE FROM MAY 2012 THROUGH DECEMBER 2020 AND UPDATING ALL OTHER DATA [SUMMER/FALL 2023]: /// 
> *** ADDITIONAL VARIABLES ADDED IN MARCH 2024 IN RESPSONSE TO LSQ REFEREE REPORTS ****
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. **** "EXECUTIVE DEFERENCE OR LEGISLATIVE CONSTRAINT? COMMITTEE FOUNDATIONS OF CONFIRMATION DELAY FOR U.S. EXECUTIVE BRANCH APPOINTMENTS" [KRAUSE & BYERS] ****
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. **** SENSITIVITY ANALYSIS REGARDING ALTERNATIVE SURVIVAL MODELS [MANUSCRIPT: NO PRESIDENT-AGENCY IDEOLOGICAL ALIGNMENT/NEUTRAL/OPPOSITION DISTINCTIONS ARE MADE] ****
. **** NOTE: ALTERNATIVE ANALYSES/MODELS DISAGGREGATED BY SUBSAMPLE FOR EACH PRESIDENTI-AGENCY IDEOLOGICAL CONFIGURATION ****
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. 
. 
. *******  A. PRESIDENT-AGENCY IDEOLOGICAL ALIGNMENT:  IDPRESALLY==1                    [PRESIDENTIAL-AGENCY IDEOLOGICAL ALIGNMENT ALTERNATIVE, 1] 
. *******  B. PRESIDENT-AGENCY IDEOLOGICAL OPPOSITION: IDPRESOPPOSE==1                  [PRESIDENTIAL-AGENCY IDEOLOGICAL ALIGNMENT ALTERNATIVE, 2] 
. *******  C. PRESIDENT-AGENCY IDEOLOGICAL NEUTRALITY: IDPRESALLY==0 & IDPRESOPPOSE==0  [PRESIDENTIAL-AGENCY IDEOLOGICAL ALIGNMENT ALTERNATIVE, 3]
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.    ******  NOTE: CASES NATURALLY OMITTED WHERE CLINTON-LEWIS AGENCY IDEOLOGY IS A MISSING VALUE SINCE NO ESTIMATE IS AVAILABLE FOR SUCH AGENCIES     
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. *** COMMITTEE CONTROL COVARIATES:       experience_median / chair_experience_1; ///
> ***                                                                             ln_combills_workload; committeestaffsize [# Committee Staff]   
.     
. *** OSTRANDER CONTROL COVARIATES:       sendivide  polarization pres_app_m first90 preselection lameduck workload [Executive Civilian Nominations: Senate] 
. ***                                                                             female priorconfirm _Itier_2 _Itier_3 _Itier_4 defense infrastructure social
. 
. 
. *** ADDITIONAL CONTROL COVARIATES:      pressenfloorabsdist [-] [|Senate Floor Median - President|]; kv_workload (# civilian executive nominations made in a given year/session)        
. ***                                                                             denied [-] [nominee previously denied in same Congress]; fvra [+] [= 1 if subject to FVRA 1998, = 0 otherwise]; 
. ***                                                                             firstrecess[-] [= 1 is nominated in July or August affected by August Recess, = 0 otherwise]; 
. ***                                                                     secondrecess [-] [= 1 is nominated in November or December affected by December Recess, = 0 otherwise]; major policy agency binary indicator [-];                      
. ***                                     committee-level & pressidential administration unit/fixed effects.
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.   
.  * OPEN UPDATED "CONFIRMATION DELAY & SENATE COMMITTEES PROJECT" MANUSCRIPT DATABASE [12-23-2024] *
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. *use "C:\Users\gk57526\Dropbox\Confirmation Dynamics Project (Jason Byers)\Confirmation Delay & Senate Committees\2023 Version\Fall 2024\Statistics\Data\Committee Delay.MANUSCRIPT RESULTS.12-23-2024.dta", replace
. 
. 
. use "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Data/Committee Delay.MANUSCRIPT RESULTS.12-23-2024.dta", replace
{txt}
{com}. 
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. 
. 
. 
. 
. *** SET SURVIVAL TIME FUNCTION [STSET] *** 
. 
. stset legvetdur2plus1, failure(confirmbinary)

{txt}Survival-time data settings

{col 10}Failure event: {res}confirmbinary!=0 & confirmbinary<.
{col 1}{txt}Observed time interval: {res}(0, legvetdur2plus1]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}     10,354{txt}  total observations
{res}        244{txt}  event time missing (legvetdur2plus1>=.){col 61}PROBABLE ERROR
{hline 74}
{res}     10,110{txt}  observations remaining, representing
{res}      7,166{txt}  failures in single-record/single-failure data
{res}    988,097{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}      730
{txt}
{com}. 
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. *
. *
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. *********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. *** A. PRESIDENTIAL IDEOLOGICALLY-ALIGNED AGENCIES ***
. 
. 
. 
. 
. 
. ** SET UP DATA TO BE READ IN DURATION/SURVIVAL TIME FORM & CREATE REQUISITE INTERACTION VARIABLES TO BE USED IN EVALUATING PARTISAN SELECTIVE COMMITTEE DELAY HYPOTHESIS **
. 
. stset legvetdur2plus1, failure(confirmbinary)

{txt}Survival-time data settings

{col 10}Failure event: {res}confirmbinary!=0 & confirmbinary<.
{col 1}{txt}Observed time interval: {res}(0, legvetdur2plus1]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}     10,354{txt}  total observations
{res}        244{txt}  event time missing (legvetdur2plus1>=.){col 61}PROBABLE ERROR
{hline 74}
{res}     10,110{txt}  observations remaining, representing
{res}      7,166{txt}  failures in single-record/single-failure data
{res}    988,097{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}      730
{txt}
{com}. 
. *
. *
. *
. *
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D1.A: COX SEMIPARAMETRIC MODEL] -- IDPRESALLY==1 *
. 
. stcox  c.committee_pres1##i.sendivide   pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1 i.presrev  if idpresally==1,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-12238.311
{txt}Iteration 1:  Log pseudolikelihood = {res}  -12063.2
{txt}Iteration 2:  Log pseudolikelihood = {res}-11995.533
{txt}Iteration 3:  Log pseudolikelihood = {res}-11987.367
{txt}Iteration 4:  Log pseudolikelihood = {res}-11985.373
{txt}Iteration 5:  Log pseudolikelihood = {res}-11984.971
{txt}Iteration 6:  Log pseudolikelihood = {res}-11984.936
{txt}Iteration 7:  Log pseudolikelihood = {res}-11984.936
{txt}Iteration 8:  Log pseudolikelihood = {res}-11984.936
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-11984.936

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:2,381}{col 54}{txt}{lalign 13:Number of obs} = {res}{ralign 9:2,381}
{txt}No. of failures = {res}{ralign 7:1,754}
{txt}Time at risk    = {res}{ralign 7:213,008}
{col 54}{txt}{lalign 13:Wald chi2({res:17})} = {res}{ralign 9:353717.84}
{txt}Log pseudolikelihood = {res}-11984.936{col 54}{txt}{lalign 13:Prob > chi2} = {res}{ralign 9:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:18} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2}  .149305{col 29}{space 2} .1154944{col 40}{space 1}   -2.46{col 49}{space 3}0.014{col 57}{space 4} .0327816{col 70}{space 3} .6800152
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2}  .256412{col 29}{space 2} .1636173{col 40}{space 1}   -2.13{col 49}{space 3}0.033{col 57}{space 4} .0734148{col 70}{space 3} .8955562
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 7.497029{col 29}{space 2} 4.612052{col 40}{space 1}    3.27{col 49}{space 3}0.001{col 57}{space 4} 2.245141{col 70}{space 3} 25.03426
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .8412974{col 29}{space 2} .5471371{col 40}{space 1}   -0.27{col 49}{space 3}0.790{col 57}{space 4} .2351642{col 70}{space 3} 3.009732
{txt}experience_me~n {c |}{col 17}{res}{space 2}  .989209{col 29}{space 2} .0279441{col 40}{space 1}   -0.38{col 49}{space 3}0.701{col 57}{space 4} .9359282{col 70}{space 3} 1.045523
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9871733{col 29}{space 2} .0035228{col 40}{space 1}   -3.62{col 49}{space 3}0.000{col 57}{space 4} .9802928{col 70}{space 3} .9941021
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .9107889{col 29}{space 2} .1002147{col 40}{space 1}   -0.85{col 49}{space 3}0.396{col 57}{space 4} .7341072{col 70}{space 3} 1.129994
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.003509{col 29}{space 2} .0061678{col 40}{space 1}    0.57{col 49}{space 3}0.569{col 57}{space 4} .9914929{col 70}{space 3} 1.015671
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.229652{col 29}{space 2} .3661418{col 40}{space 1}    4.88{col 49}{space 3}0.000{col 57}{space 4}  1.61606{col 70}{space 3} 3.076217
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .5716369{col 29}{space 2} .0493622{col 40}{space 1}   -6.48{col 49}{space 3}0.000{col 57}{space 4} .4826329{col 70}{space 3} .6770544
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9530571{col 29}{space 2} .1360224{col 40}{space 1}   -0.34{col 49}{space 3}0.736{col 57}{space 4} .7204993{col 70}{space 3} 1.260678
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9998953{col 29}{space 2} .0001079{col 40}{space 1}   -0.97{col 49}{space 3}0.332{col 57}{space 4}  .999684{col 70}{space 3} 1.000107
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0127591{col 29}{space 2} .0404009{col 40}{space 1}   -1.38{col 49}{space 3}0.168{col 57}{space 4} .0000257{col 70}{space 3} 6.325529
{txt}{space 7}workload {c |}{col 17}{res}{space 2} .9985909{col 29}{space 2} .0032064{col 40}{space 1}   -0.44{col 49}{space 3}0.661{col 57}{space 4} .9923262{col 70}{space 3} 1.004895
{txt}{space 9}female {c |}{col 17}{res}{space 2} .8466092{col 29}{space 2} .0381499{col 40}{space 1}   -3.70{col 49}{space 3}0.000{col 57}{space 4} .7750437{col 70}{space 3} .9247829
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} 1.016023{col 29}{space 2} .1031722{col 40}{space 1}    0.16{col 49}{space 3}0.876{col 57}{space 4} .8326606{col 70}{space 3} 1.239763
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .8225603{col 29}{space 2} .0890802{col 40}{space 1}   -1.80{col 49}{space 3}0.071{col 57}{space 4} .6652514{col 70}{space 3} 1.017067
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9779616{col 29}{space 2} .1128815{col 40}{space 1}   -0.19{col 49}{space 3}0.847{col 57}{space 4} .7799587{col 70}{space 3}  1.22623
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} 1.055874{col 29}{space 2} .2234694{col 40}{space 1}    0.26{col 49}{space 3}0.797{col 57}{space 4} .6973654{col 70}{space 3} 1.598688
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .9914616{col 29}{space 2} .2115487{col 40}{space 1}   -0.04{col 49}{space 3}0.968{col 57}{space 4} .6526113{col 70}{space 3}  1.50625
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8516208{col 29}{space 2} .1468589{col 40}{space 1}   -0.93{col 49}{space 3}0.352{col 57}{space 4} .6073789{col 70}{space 3} 1.194078
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} 1.127052{col 29}{space 2} .2335109{col 40}{space 1}    0.58{col 49}{space 3}0.564{col 57}{space 4} .7509067{col 70}{space 3} 1.691618
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9636459{col 29}{space 2} .1744359{col 40}{space 1}   -0.20{col 49}{space 3}0.838{col 57}{space 4} .6758275{col 70}{space 3} 1.374039
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.156239{col 29}{space 2} .1177882{col 40}{space 1}    1.43{col 49}{space 3}0.154{col 57}{space 4} .9469656{col 70}{space 3} 1.411761
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2}  .912069{col 29}{space 2} .0400892{col 40}{space 1}   -2.09{col 49}{space 3}0.036{col 57}{space 4} .8367848{col 70}{space 3} .9941263
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .6450466{col 29}{space 2} .0782036{col 40}{space 1}   -3.62{col 49}{space 3}0.000{col 57}{space 4} .5086206{col 70}{space 3} .8180658
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.115848{col 29}{space 2} .2009951{col 40}{space 1}    0.61{col 49}{space 3}0.543{col 57}{space 4} .7839349{col 70}{space 3}  1.58829
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9292448{col 29}{space 2}  .140899{col 40}{space 1}   -0.48{col 49}{space 3}0.628{col 57}{space 4} .6903425{col 70}{space 3} 1.250822
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.018793{col 29}{space 2} .1679264{col 40}{space 1}    0.11{col 49}{space 3}0.910{col 57}{space 4} .7375363{col 70}{space 3} 1.407306
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 2.021515{col 29}{space 2} .4462008{col 40}{space 1}    3.19{col 49}{space 3}0.001{col 57}{space 4}  1.31158{col 70}{space 3} 3.115726
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.491898{col 29}{space 2}   .24136{col 40}{space 1}    2.47{col 49}{space 3}0.013{col 57}{space 4} 1.086504{col 70}{space 3} 2.048552
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .9273227{col 29}{space 2}  .200306{col 40}{space 1}   -0.35{col 49}{space 3}0.727{col 57}{space 4} .6072499{col 70}{space 3} 1.416102
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.124696{col 29}{space 2} .3041927{col 40}{space 1}    0.43{col 49}{space 3}0.664{col 57}{space 4} .6619319{col 70}{space 3} 1.910982
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.442315{col 29}{space 2} .2547764{col 40}{space 1}    2.07{col 49}{space 3}0.038{col 57}{space 4} 1.020236{col 70}{space 3} 2.039013
{txt}{space 12}10  {c |}{col 17}{res}{space 2}  1.26838{col 29}{space 2} .3044182{col 40}{space 1}    0.99{col 49}{space 3}0.322{col 57}{space 4} .7924219{col 70}{space 3} 2.030217
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.694549{col 29}{space 2} .4922049{col 40}{space 1}    1.82{col 49}{space 3}0.069{col 57}{space 4} .9589836{col 70}{space 3} 2.994313
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  1.94499{col 29}{space 2} .4767397{col 40}{space 1}    2.71{col 49}{space 3}0.007{col 57}{space 4} 1.203034{col 70}{space 3} 3.144538
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7703063{col 29}{space 2} .1570639{col 40}{space 1}   -1.28{col 49}{space 3}0.201{col 57}{space 4} .5165415{col 70}{space 3}  1.14874
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.676538{col 29}{space 2} .6831907{col 40}{space 1}    1.27{col 49}{space 3}0.205{col 57}{space 4} .7543068{col 70}{space 3} 3.726308
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.863381{col 29}{space 2} .8858654{col 40}{space 1}    3.40{col 49}{space 3}0.001{col 57}{space 4} 1.561481{col 70}{space 3} 5.250754
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.542767{col 29}{space 2} .5560035{col 40}{space 1}    1.20{col 49}{space 3}0.229{col 57}{space 4}  .761259{col 70}{space 3} 3.126569
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5993864{col 29}{space 2} .2040021{col 40}{space 1}   -1.50{col 49}{space 3}0.133{col 57}{space 4} .3076091{col 70}{space 3} 1.167924
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4361437{col 29}{space 2} .1058853{col 40}{space 1}   -3.42{col 49}{space 3}0.001{col 57}{space 4} .2710055{col 70}{space 3} .7019095
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 2.396608{col 29}{space 2} 1.306422{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4} .8233719{col 70}{space 3} 6.975863
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.227089{col 29}{space 2} .4846851{col 40}{space 1}    0.52{col 49}{space 3}0.604{col 57}{space 4} .5657983{col 70}{space 3} 2.661278
{txt}{space 13}3  {c |}{col 17}{res}{space 2}  1.29914{col 29}{space 2} .7942079{col 40}{space 1}    0.43{col 49}{space 3}0.669{col 57}{space 4} .3920018{col 70}{space 3} 4.305504
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.868495{col 29}{space 2} 1.180733{col 40}{space 1}    0.99{col 49}{space 3}0.323{col 57}{space 4} .5415061{col 70}{space 3} 6.447337
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .6454998{col 29}{space 2}   .59972{col 40}{space 1}   -0.47{col 49}{space 3}0.638{col 57}{space 4} .1044872{col 70}{space 3} 3.987761
{txt}{space 13}6  {c |}{col 17}{res}{space 2}  .585838{col 29}{space 2} .6535755{col 40}{space 1}   -0.48{col 49}{space 3}0.632{col 57}{space 4} .0657894{col 70}{space 3} 5.216741
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.5386078      -.5386078
{txt}10%    {res}-.4312148      -.5386078       {txt}Obs         {res}      1,263
{txt}25%    {res} -.412061      -.5386078       {txt}Sum of wgt. {res}      1,263

{txt}50%    {res}-.3333832                      {txt}Mean          {res}-.2039112
                        {txt}Largest       Std. dev.     {res} .2728423
{txt}75%    {res} .0905807        .490939
{txt}90%    {res}  .166939        .490939       {txt}Variance      {res} .0744429
{txt}95%    {res} .3289552        .490939       {txt}Skewness      {res} .8318586
{txt}99%    {res}  .490939        .490939       {txt}Kurtosis      {res} 2.467701
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.1966079
{txt} 5%    {res}-.1966079      -.1966079
{txt}10%    {res}-.1966079      -.1966079       {txt}Obs         {res}      1,118
{txt}25%    {res} .0447852      -.1966079       {txt}Sum of wgt. {res}      1,118

{txt}50%    {res}  .193939                      {txt}Mean          {res} .1994124
                        {txt}Largest       Std. dev.     {res} .2177522
{txt}75%    {res} .3567852        .490939
{txt}90%    {res}  .490939        .490939       {txt}Variance      {res}  .047416
{txt}95%    {res}  .490939        .490939       {txt}Skewness      {res} -.381872
{txt}99%    {res}  .490939        .490939       {txt}Kurtosis      {res} 2.147471
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1" [IDPRESALLY==1]  *
. lincomest (committee_pres1 * 0.5026417 +  1.sendivide#c.committee_pres1 * 0.312) - committee_pres1 * 0.5026417, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.5026417+1.sendivide#c.committee_pres1*0.312)-committee_pres1*0.5026417

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.874845{col 26}{space 2} .3598529{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} 1.287028{col 67}{space 3} 2.731133
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD1a = r(table)
{txt}
{com}. mat list modelD1a
{res}
{txt}modelD1a[9,1]
               (1)
     b {res} 1.8748453
{txt}    se {res}  .3598529
{txt}     z {res} 3.2746415
{txt}pvalue {res} .00105796
{txt}    ll {res} 1.2870281
{txt}    ul {res} 2.7311329
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. 
. 
. 
. ******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D2.A: COX SEMIPARAMETRIC MODEL] -- IDPRESALLY==1 *
. 
. stcox  c.chair_pres1##i.sendivide  pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1  i.presrev  if idpresally==1,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-12238.311
{txt}Iteration 1:  Log pseudolikelihood = {res}-12069.411
{txt}Iteration 2:  Log pseudolikelihood = {res}-12004.353
{txt}Iteration 3:  Log pseudolikelihood = {res}-11996.093
{txt}Iteration 4:  Log pseudolikelihood = {res}-11994.054
{txt}Iteration 5:  Log pseudolikelihood = {res}-11993.639
{txt}Iteration 6:  Log pseudolikelihood = {res}-11993.603
{txt}Iteration 7:  Log pseudolikelihood = {res}-11993.602
{txt}Iteration 8:  Log pseudolikelihood = {res}-11993.602
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-11993.602

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:2,381}{col 53}{txt}{lalign 13:Number of obs} = {res}{ralign 10:2,381}
{txt}No. of failures = {res}{ralign 7:1,754}
{txt}Time at risk    = {res}{ralign 7:213,008}
{col 53}{txt}{lalign 13:Wald chi2({res:17})} = {res}{ralign 10:8096484.93}
{txt}Log pseudolikelihood = {res}-11993.602{col 53}{txt}{lalign 13:Prob > chi2} = {res}{ralign 10:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:18} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} 1.105595{col 29}{space 2} .3269757{col 40}{space 1}    0.34{col 49}{space 3}0.734{col 57}{space 4} .6192357{col 70}{space 3} 1.973948
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .7747524{col 29}{space 2} .4549852{col 40}{space 1}   -0.43{col 49}{space 3}0.664{col 57}{space 4} .2450652{col 70}{space 3} 2.449312
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 1.398595{col 29}{space 2} .6564206{col 40}{space 1}    0.71{col 49}{space 3}0.475{col 57}{space 4} .5574253{col 70}{space 3} 3.509113
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .0927694{col 29}{space 2}  .099905{col 40}{space 1}   -2.21{col 49}{space 3}0.027{col 57}{space 4} .0112391{col 70}{space 3} .7657357
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.011471{col 29}{space 2} .0091499{col 40}{space 1}    1.26{col 49}{space 3}0.207{col 57}{space 4} .9936951{col 70}{space 3} 1.029564
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9880666{col 29}{space 2} .0034086{col 40}{space 1}   -3.48{col 49}{space 3}0.001{col 57}{space 4} .9814085{col 70}{space 3} .9947699
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .9713313{col 29}{space 2} .1279169{col 40}{space 1}   -0.22{col 49}{space 3}0.825{col 57}{space 4} .7503617{col 70}{space 3} 1.257373
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.005667{col 29}{space 2} .0054314{col 40}{space 1}    1.05{col 49}{space 3}0.295{col 57}{space 4}  .995078{col 70}{space 3} 1.016369
{txt}{space 8}first90 {c |}{col 17}{res}{space 2}  2.27398{col 29}{space 2} .3575415{col 40}{space 1}    5.22{col 49}{space 3}0.000{col 57}{space 4} 1.670901{col 70}{space 3} 3.094727
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .5842993{col 29}{space 2}   .06229{col 40}{space 1}   -5.04{col 49}{space 3}0.000{col 57}{space 4} .4741239{col 70}{space 3}  .720077
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9362586{col 29}{space 2}  .139109{col 40}{space 1}   -0.44{col 49}{space 3}0.658{col 57}{space 4} .6997205{col 70}{space 3} 1.252758
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999393{col 29}{space 2} .0000997{col 40}{space 1}   -0.61{col 49}{space 3}0.543{col 57}{space 4} .9997439{col 70}{space 3} 1.000135
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0013854{col 29}{space 2} .0029598{col 40}{space 1}   -3.08{col 49}{space 3}0.002{col 57}{space 4}  .000021{col 70}{space 3} .0912376
{txt}{space 7}workload {c |}{col 17}{res}{space 2} .9984492{col 29}{space 2} .0030971{col 40}{space 1}   -0.50{col 49}{space 3}0.617{col 57}{space 4} .9923974{col 70}{space 3} 1.004538
{txt}{space 9}female {c |}{col 17}{res}{space 2} .8317676{col 29}{space 2} .0371524{col 40}{space 1}   -4.12{col 49}{space 3}0.000{col 57}{space 4} .7620466{col 70}{space 3} .9078676
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} 1.020765{col 29}{space 2} .1101252{col 40}{space 1}    0.19{col 49}{space 3}0.849{col 57}{space 4} .8262167{col 70}{space 3} 1.261124
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .8191733{col 29}{space 2} .0985221{col 40}{space 1}   -1.66{col 49}{space 3}0.097{col 57}{space 4}  .647145{col 70}{space 3} 1.036931
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9579876{col 29}{space 2} .1043377{col 40}{space 1}   -0.39{col 49}{space 3}0.694{col 57}{space 4} .7738426{col 70}{space 3} 1.185952
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .9806029{col 29}{space 2} .2014297{col 40}{space 1}   -0.10{col 49}{space 3}0.924{col 57}{space 4} .6556081{col 70}{space 3} 1.466703
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .9814659{col 29}{space 2} .2086124{col 40}{space 1}   -0.09{col 49}{space 3}0.930{col 57}{space 4} .6470692{col 70}{space 3} 1.488674
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8532093{col 29}{space 2} .1637896{col 40}{space 1}   -0.83{col 49}{space 3}0.408{col 57}{space 4}  .585668{col 70}{space 3} 1.242967
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} 1.089344{col 29}{space 2} .2511378{col 40}{space 1}    0.37{col 49}{space 3}0.710{col 57}{space 4} .6933122{col 70}{space 3} 1.711597
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9394315{col 29}{space 2} .1643308{col 40}{space 1}   -0.36{col 49}{space 3}0.721{col 57}{space 4} .6667577{col 70}{space 3} 1.323617
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.115509{col 29}{space 2} .1140681{col 40}{space 1}    1.07{col 49}{space 3}0.285{col 57}{space 4} .9129192{col 70}{space 3} 1.363057
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2}   .91854{col 29}{space 2} .0454213{col 40}{space 1}   -1.72{col 49}{space 3}0.086{col 57}{space 4}  .833694{col 70}{space 3} 1.012021
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .6661037{col 29}{space 2}  .083404{col 40}{space 1}   -3.24{col 49}{space 3}0.001{col 57}{space 4} .5211484{col 70}{space 3} .8513777
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.167222{col 29}{space 2} .2154063{col 40}{space 1}    0.84{col 49}{space 3}0.402{col 57}{space 4} .8129566{col 70}{space 3} 1.675866
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .8736783{col 29}{space 2} .1399441{col 40}{space 1}   -0.84{col 49}{space 3}0.399{col 57}{space 4} .6382749{col 70}{space 3} 1.195901
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.082624{col 29}{space 2} .2224615{col 40}{space 1}    0.39{col 49}{space 3}0.699{col 57}{space 4} .7237181{col 70}{space 3} 1.619517
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.745519{col 29}{space 2} .4016546{col 40}{space 1}    2.42{col 49}{space 3}0.015{col 57}{space 4}  1.11188{col 70}{space 3} 2.740257
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.395907{col 29}{space 2} .3873488{col 40}{space 1}    1.20{col 49}{space 3}0.229{col 57}{space 4} .8103215{col 70}{space 3}  2.40467
{txt}{space 13}7  {c |}{col 17}{res}{space 2}  .957738{col 29}{space 2}  .245921{col 40}{space 1}   -0.17{col 49}{space 3}0.866{col 57}{space 4} .5790037{col 70}{space 3} 1.584208
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .9382312{col 29}{space 2} .3017665{col 40}{space 1}   -0.20{col 49}{space 3}0.843{col 57}{space 4} .4994995{col 70}{space 3}  1.76232
{txt}{space 13}9  {c |}{col 17}{res}{space 2}  1.25626{col 29}{space 2} .2040185{col 40}{space 1}    1.40{col 49}{space 3}0.160{col 57}{space 4} .9137836{col 70}{space 3} 1.727094
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.260656{col 29}{space 2} .3399422{col 40}{space 1}    0.86{col 49}{space 3}0.390{col 57}{space 4} .7431322{col 70}{space 3} 2.138589
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.646752{col 29}{space 2} .5866001{col 40}{space 1}    1.40{col 49}{space 3}0.161{col 57}{space 4} .8192499{col 70}{space 3} 3.310093
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.878478{col 29}{space 2} .5253423{col 40}{space 1}    2.25{col 49}{space 3}0.024{col 57}{space 4} 1.085815{col 70}{space 3} 3.249798
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .8572142{col 29}{space 2}  .234618{col 40}{space 1}   -0.56{col 49}{space 3}0.573{col 57}{space 4} .5013223{col 70}{space 3} 1.465756
{txt}{space 12}14  {c |}{col 17}{res}{space 2}  1.96197{col 29}{space 2} .9622838{col 40}{space 1}    1.37{col 49}{space 3}0.169{col 57}{space 4} .7502486{col 70}{space 3} 5.130735
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.196357{col 29}{space 2} .7510763{col 40}{space 1}    2.30{col 49}{space 3}0.021{col 57}{space 4} 1.123627{col 70}{space 3} 4.293226
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.641405{col 29}{space 2} .6441305{col 40}{space 1}    1.26{col 49}{space 3}0.207{col 57}{space 4} .7606444{col 70}{space 3} 3.542008
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .6969756{col 29}{space 2}  .267043{col 40}{space 1}   -0.94{col 49}{space 3}0.346{col 57}{space 4} .3289149{col 70}{space 3} 1.476902
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4800048{col 29}{space 2}  .135937{col 40}{space 1}   -2.59{col 49}{space 3}0.010{col 57}{space 4} .2755409{col 70}{space 3} .8361904
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 2.668203{col 29}{space 2} 1.401229{col 40}{space 1}    1.87{col 49}{space 3}0.062{col 57}{space 4} .9532422{col 70}{space 3} 7.468518
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.102825{col 29}{space 2} .5071306{col 40}{space 1}    0.21{col 49}{space 3}0.831{col 57}{space 4} .4477999{col 70}{space 3} 2.715995
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.162043{col 29}{space 2} .8096188{col 40}{space 1}    0.22{col 49}{space 3}0.829{col 57}{space 4} .2966012{col 70}{space 3} 4.552726
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.130635{col 29}{space 2} 1.208821{col 40}{space 1}    1.33{col 49}{space 3}0.182{col 57}{space 4} .7007734{col 70}{space 3} 6.477992
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .7552991{col 29}{space 2}  .675395{col 40}{space 1}   -0.31{col 49}{space 3}0.754{col 57}{space 4} .1309083{col 70}{space 3} 4.357834
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.068332{col 29}{space 2} 1.003771{col 40}{space 1}    0.07{col 49}{space 3}0.944{col 57}{space 4}  .169412{col 70}{space 3} 6.737024
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. 
. 
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.7163319      -.7163319
{txt}10%    {res}-.5245913      -.7163319       {txt}Obs         {res}      1,263
{txt}25%    {res}-.4412139      -.7163319       {txt}Sum of wgt. {res}      1,263

{txt}50%    {res}-.4349315                      {txt}Mean          {res}-.2926706
                        {txt}Largest       Std. dev.     {res} .2972505
{txt}75%    {res}-.1762139       .6940686
{txt}90%    {res} .1377861       .6940686       {txt}Variance      {res} .0883578
{txt}95%    {res} .4742085       .6940686       {txt}Skewness      {res} 1.373615
{txt}99%    {res} .6940686       .6940686       {txt}Kurtosis      {res} 4.954072
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.2693319
{txt} 5%    {res}-.2693319      -.2693319
{txt}10%    {res}-.0833319      -.2693319       {txt}Obs         {res}      1,118
{txt}25%    {res} .1968486      -.2693319       {txt}Sum of wgt. {res}      1,118

{txt}50%    {res} .3879185                      {txt}Mean          {res}  .324236
                        {txt}Largest       Std. dev.     {res} .2530902
{txt}75%    {res} .5187862       .7534087
{txt}90%    {res} .5657861       .7534087       {txt}Variance      {res} .0640546
{txt}95%    {res} .5657861       .7534087       {txt}Skewness      {res}-.8948664
{txt}99%    {res} .7534087       .7534087       {txt}Kurtosis      {res} 2.797659
{txt}
{com}. 
. 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  [IDPRESALLY==1]  *
. lincomest (chair_pres1 * 0.265 +  1.sendivide#c.chair_pres1 * 0.3219376) - chair_pres1 * 0.265, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.265+1.sendivide#c.chair_pres1*0.3219376)-chair_pres1*0.265

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.114048{col 26}{space 2} .1683316{col 37}{space 1}    0.71{col 46}{space 3}0.475{col 54}{space 4} .8284913{col 67}{space 3} 1.498027
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD2a = r(table)
{txt}
{com}. mat list modelD2a
{res}
{txt}modelD2a[9,1]
               (1)
     b {res} 1.1140476
{txt}    se {res} .16833158
{txt}     z {res} .71476169
{txt}pvalue {res} .47475631
{txt}    ll {res}  .8284913
{txt}    ul {res} 1.4980266
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. 
. 
. ******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D3.A: WEIBULL PARAMETRIC MODEL] -- IDPRESALLY==1 *
. 
. streg  c.committee_pres1##i.sendivide   pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev  if idpresally==1,  distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-3258.6215
{txt}Iteration 1:  Log pseudolikelihood = {res}-3258.2484
{txt}Iteration 2:  Log pseudolikelihood = {res}-3258.2484

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3258.2484}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-3065.4384}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-2961.0104}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-2958.7861}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-2958.7191}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-2958.7187}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-2958.7187}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:2,381}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:2,381}
{txt}No. of failures = {res}{ralign 7:1,754}
{txt}Time at risk    = {res}{ralign 7:213,008}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(15)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-2958.7187{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:18} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .0948408{col 29}{space 2} .0791561{col 40}{space 1}   -2.82{col 49}{space 3}0.005{col 57}{space 4} .0184742{col 70}{space 3} .4868841
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .2370142{col 29}{space 2}  .161947{col 40}{space 1}   -2.11{col 49}{space 3}0.035{col 57}{space 4} .0621106{col 70}{space 3}  .904447
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 8.148164{col 29}{space 2} 5.617627{col 40}{space 1}    3.04{col 49}{space 3}0.002{col 57}{space 4} 2.109657{col 70}{space 3} 31.47079
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .7655322{col 29}{space 2} .4624703{col 40}{space 1}   -0.44{col 49}{space 3}0.658{col 57}{space 4}  .234282{col 70}{space 3} 2.501428
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9983297{col 29}{space 2}  .030168{col 40}{space 1}   -0.06{col 49}{space 3}0.956{col 57}{space 4} .9409184{col 70}{space 3} 1.059244
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9842586{col 29}{space 2}  .004084{col 40}{space 1}   -3.82{col 49}{space 3}0.000{col 57}{space 4} .9762866{col 70}{space 3} .9922957
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .8612426{col 29}{space 2} .1356625{col 40}{space 1}   -0.95{col 49}{space 3}0.343{col 57}{space 4} .6324769{col 70}{space 3} 1.172753
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.003283{col 29}{space 2} .0072419{col 40}{space 1}    0.45{col 49}{space 3}0.650{col 57}{space 4} .9891891{col 70}{space 3} 1.017578
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.236691{col 29}{space 2} .3188712{col 40}{space 1}    5.65{col 49}{space 3}0.000{col 57}{space 4} 1.691436{col 70}{space 3} 2.957717
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6380483{col 29}{space 2} .0613453{col 40}{space 1}   -4.67{col 49}{space 3}0.000{col 57}{space 4}  .528463{col 70}{space 3} .7703579
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9657991{col 29}{space 2} .1547227{col 40}{space 1}   -0.22{col 49}{space 3}0.828{col 57}{space 4} .7055419{col 70}{space 3} 1.322059
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9998324{col 29}{space 2} .0001126{col 40}{space 1}   -1.49{col 49}{space 3}0.137{col 57}{space 4} .9996118{col 70}{space 3} 1.000053
{txt}{space 3}polarization {c |}{col 17}{res}{space 2}  .017945{col 29}{space 2} .0621982{col 40}{space 1}   -1.16{col 49}{space 3}0.246{col 57}{space 4} .0000201{col 70}{space 3} 16.00484
{txt}{space 7}workload {c |}{col 17}{res}{space 2} .9986935{col 29}{space 2} .0030878{col 40}{space 1}   -0.42{col 49}{space 3}0.672{col 57}{space 4} .9926598{col 70}{space 3} 1.004764
{txt}{space 9}female {c |}{col 17}{res}{space 2} .7962948{col 29}{space 2} .0485008{col 40}{space 1}   -3.74{col 49}{space 3}0.000{col 57}{space 4} .7066898{col 70}{space 3} .8972612
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9011743{col 29}{space 2} .1144331{col 40}{space 1}   -0.82{col 49}{space 3}0.413{col 57}{space 4} .7026213{col 70}{space 3} 1.155836
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .7178751{col 29}{space 2} .0779252{col 40}{space 1}   -3.05{col 49}{space 3}0.002{col 57}{space 4} .5802981{col 70}{space 3}  .888069
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} 1.032424{col 29}{space 2} .1256014{col 40}{space 1}    0.26{col 49}{space 3}0.793{col 57}{space 4} .8133988{col 70}{space 3} 1.310426
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} 1.056173{col 29}{space 2} .2417262{col 40}{space 1}    0.24{col 49}{space 3}0.811{col 57}{space 4} .6744048{col 70}{space 3} 1.654053
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .9905168{col 29}{space 2} .2271887{col 40}{space 1}   -0.04{col 49}{space 3}0.967{col 57}{space 4} .6318689{col 70}{space 3} 1.552733
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .7522979{col 29}{space 2} .1484167{col 40}{space 1}   -1.44{col 49}{space 3}0.149{col 57}{space 4} .5110472{col 70}{space 3} 1.107436
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} 1.094897{col 29}{space 2} .2536851{col 40}{space 1}    0.39{col 49}{space 3}0.696{col 57}{space 4} .6952677{col 70}{space 3} 1.724228
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9809913{col 29}{space 2} .1977252{col 40}{space 1}   -0.10{col 49}{space 3}0.924{col 57}{space 4} .6608455{col 70}{space 3} 1.456231
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.264457{col 29}{space 2}   .15627{col 40}{space 1}    1.90{col 49}{space 3}0.058{col 57}{space 4} .9924463{col 70}{space 3} 1.611021
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9223782{col 29}{space 2} .0449585{col 40}{space 1}   -1.66{col 49}{space 3}0.097{col 57}{space 4} .8383393{col 70}{space 3} 1.014841
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .6815676{col 29}{space 2} .0867415{col 40}{space 1}   -3.01{col 49}{space 3}0.003{col 57}{space 4} .5311027{col 70}{space 3} .8746601
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.050404{col 29}{space 2} .2297576{col 40}{space 1}    0.22{col 49}{space 3}0.822{col 57}{space 4} .6841809{col 70}{space 3} 1.612657
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .9696839{col 29}{space 2} .1898257{col 40}{space 1}   -0.16{col 49}{space 3}0.875{col 57}{space 4} .6606915{col 70}{space 3} 1.423186
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9942494{col 29}{space 2} .2121296{col 40}{space 1}   -0.03{col 49}{space 3}0.978{col 57}{space 4} .6544643{col 70}{space 3} 1.510444
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 2.248696{col 29}{space 2} .5862111{col 40}{space 1}    3.11{col 49}{space 3}0.002{col 57}{space 4} 1.349061{col 70}{space 3} 3.748262
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.592934{col 29}{space 2} .3413903{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4}  1.04658{col 70}{space 3} 2.424507
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .8459815{col 29}{space 2} .1952901{col 40}{space 1}   -0.72{col 49}{space 3}0.469{col 57}{space 4} .5381034{col 70}{space 3} 1.330013
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.148911{col 29}{space 2}  .370421{col 40}{space 1}    0.43{col 49}{space 3}0.667{col 57}{space 4} .6107315{col 70}{space 3} 2.161339
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.438587{col 29}{space 2} .2700147{col 40}{space 1}    1.94{col 49}{space 3}0.053{col 57}{space 4} .9957958{col 70}{space 3} 2.078269
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.290939{col 29}{space 2} .3722852{col 40}{space 1}    0.89{col 49}{space 3}0.376{col 57}{space 4} .7335561{col 70}{space 3} 2.271841
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 2.265409{col 29}{space 2} .6704098{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} 1.268376{col 70}{space 3} 4.046183
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 2.566584{col 29}{space 2} .6706583{col 40}{space 1}    3.61{col 49}{space 3}0.000{col 57}{space 4} 1.537918{col 70}{space 3} 4.283292
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .6434526{col 29}{space 2} .1539215{col 40}{space 1}   -1.84{col 49}{space 3}0.065{col 57}{space 4} .4026234{col 70}{space 3} 1.028334
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.528965{col 29}{space 2} .7430079{col 40}{space 1}    0.87{col 49}{space 3}0.382{col 57}{space 4} .5898644{col 70}{space 3} 3.963173
{txt}{space 12}15  {c |}{col 17}{res}{space 2}  3.76841{col 29}{space 2} 1.460838{col 40}{space 1}    3.42{col 49}{space 3}0.001{col 57}{space 4} 1.762734{col 70}{space 3} 8.056189
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.859456{col 29}{space 2} .6762721{col 40}{space 1}    1.71{col 49}{space 3}0.088{col 57}{space 4} .9116104{col 70}{space 3} 3.792821
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .3190984{col 29}{space 2} .1430677{col 40}{space 1}   -2.55{col 49}{space 3}0.011{col 57}{space 4} .1325222{col 70}{space 3} .7683527
{txt}{space 12}19  {c |}{col 17}{res}{space 2}  .427914{col 29}{space 2} .1275977{col 40}{space 1}   -2.85{col 49}{space 3}0.004{col 57}{space 4} .2385287{col 70}{space 3} .7676661
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.369905{col 29}{space 2} .7312448{col 40}{space 1}    0.59{col 49}{space 3}0.555{col 57}{space 4} .4811997{col 70}{space 3} 3.899916
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.229187{col 29}{space 2} .5324511{col 40}{space 1}    0.48{col 49}{space 3}0.634{col 57}{space 4} .5258962{col 70}{space 3} 2.873001
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.031936{col 29}{space 2} .6368861{col 40}{space 1}    0.05{col 49}{space 3}0.959{col 57}{space 4} .3078302{col 70}{space 3} 3.459346
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  1.74701{col 29}{space 2} 1.163388{col 40}{space 1}    0.84{col 49}{space 3}0.402{col 57}{space 4} .4736461{col 70}{space 3}  6.44372
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .4629055{col 29}{space 2} .4511685{col 40}{space 1}   -0.79{col 49}{space 3}0.429{col 57}{space 4} .0685288{col 70}{space 3} 3.126883
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .3985393{col 29}{space 2} .4670101{col 40}{space 1}   -0.79{col 49}{space 3}0.432{col 57}{space 4} .0400894{col 70}{space 3} 3.961986
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.013391{col 29}{space 2}  4.79673{col 40}{space 1}    0.29{col 49}{space 3}0.769{col 57}{space 4} .0188805{col 70}{space 3} 214.7052
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .1530062{col 29}{space 2} .0340425{col 40}{space 1}    4.49{col 49}{space 3}0.000{col 57}{space 4} .0862841{col 70}{space 3} .2197283
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.165332{col 29}{space 2} .0396709{col 57}{space 4} 1.090116{col 70}{space 3} 1.245738
{txt}            1/p {c |}{col 17}{res}{space 2} .8581244{col 29}{space 2} .0292127{col 57}{space 4} .8027368{col 70}{space 3} .9173336
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. *
. *
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1" [IDPRESALLY==1]  *
. lincomest (committee_pres1 * 0.5026417 +  1.sendivide#c.committee_pres1 * 0.312) - committee_pres1 * 0.5026417, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.5026417+1.sendivide#c.committee_pres1*0.312)-committee_pres1*0.5026417

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.924202{col 26}{space 2} .4139028{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} 1.262275{col 67}{space 3} 2.933237
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD3a = r(table)
{txt}
{com}. mat list modelD3a
{res}
{txt}modelD3a[9,1]
               (1)
     b {res}  1.924202
{txt}    se {res}  .4139028
{txt}     z {res} 3.0427722
{txt}pvalue {res}  .0023441
{txt}    ll {res} 1.2622754
{txt}    ul {res} 2.9332372
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. 
. 
. 
. 
. *********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D4.A: WEIBULL PARAMETRIC MODEL] -- IDPRESALLY==1 *
. 
. streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev if idpresally==1,  distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-3258.6215
{txt}Iteration 1:  Log pseudolikelihood = {res}-3258.2484
{txt}Iteration 2:  Log pseudolikelihood = {res}-3258.2484

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3258.2484}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-3065.6391}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-2972.0975}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-2970.1159}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-2970.0504}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-2970.0501}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-2970.0501}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:2,381}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:2,381}
{txt}No. of failures = {res}{ralign 7:1,754}
{txt}Time at risk    = {res}{ralign 7:213,008}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(15)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-2970.0501{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:18} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} 1.164418{col 29}{space 2} .3857185{col 40}{space 1}    0.46{col 49}{space 3}0.646{col 57}{space 4} .6083372{col 70}{space 3}  2.22881
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .7437882{col 29}{space 2} .4327501{col 40}{space 1}   -0.51{col 49}{space 3}0.611{col 57}{space 4} .2377958{col 70}{space 3} 2.326454
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 1.350438{col 29}{space 2} .6316365{col 40}{space 1}    0.64{col 49}{space 3}0.521{col 57}{space 4} .5399388{col 70}{space 3} 3.377573
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .0521319{col 29}{space 2} .0560336{col 40}{space 1}   -2.75{col 49}{space 3}0.006{col 57}{space 4} .0063416{col 70}{space 3} .4285591
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.013096{col 29}{space 2} .0086264{col 40}{space 1}    1.53{col 49}{space 3}0.126{col 57}{space 4} .9963292{col 70}{space 3} 1.030146
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9858769{col 29}{space 2} .0038187{col 40}{space 1}   -3.67{col 49}{space 3}0.000{col 57}{space 4} .9784206{col 70}{space 3}   .99339
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .9054209{col 29}{space 2}  .167402{col 40}{space 1}   -0.54{col 49}{space 3}0.591{col 57}{space 4} .6301923{col 70}{space 3} 1.300852
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.005192{col 29}{space 2} .0064024{col 40}{space 1}    0.81{col 49}{space 3}0.416{col 57}{space 4} .9927211{col 70}{space 3} 1.017819
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.269731{col 29}{space 2} .3038042{col 40}{space 1}    6.12{col 49}{space 3}0.000{col 57}{space 4} 1.745986{col 70}{space 3} 2.950584
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6647529{col 29}{space 2} .0790403{col 40}{space 1}   -3.43{col 49}{space 3}0.001{col 57}{space 4} .5265636{col 70}{space 3} .8392081
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .9547858{col 29}{space 2} .1626894{col 40}{space 1}   -0.27{col 49}{space 3}0.786{col 57}{space 4} .6837018{col 70}{space 3} 1.333353
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9998849{col 29}{space 2} .0000999{col 40}{space 1}   -1.15{col 49}{space 3}0.249{col 57}{space 4} .9996892{col 70}{space 3} 1.000081
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0010919{col 29}{space 2}  .002432{col 40}{space 1}   -3.06{col 49}{space 3}0.002{col 57}{space 4} .0000139{col 70}{space 3} .0859029
{txt}{space 7}workload {c |}{col 17}{res}{space 2} .9986639{col 29}{space 2} .0029404{col 40}{space 1}   -0.45{col 49}{space 3}0.650{col 57}{space 4} .9929174{col 70}{space 3} 1.004444
{txt}{space 9}female {c |}{col 17}{res}{space 2} .7792387{col 29}{space 2} .0487538{col 40}{space 1}   -3.99{col 49}{space 3}0.000{col 57}{space 4} .6893096{col 70}{space 3} .8809002
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9130025{col 29}{space 2} .1213664{col 40}{space 1}   -0.68{col 49}{space 3}0.494{col 57}{space 4} .7035918{col 70}{space 3}  1.18474
{txt}{space 9}denied {c |}{col 17}{res}{space 2}  .709433{col 29}{space 2} .0842935{col 40}{space 1}   -2.89{col 49}{space 3}0.004{col 57}{space 4} .5620477{col 70}{space 3} .8954671
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} 1.003372{col 29}{space 2} .1149801{col 40}{space 1}    0.03{col 49}{space 3}0.977{col 57}{space 4} .8015296{col 70}{space 3} 1.256042
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .9622458{col 29}{space 2} .2287743{col 40}{space 1}   -0.16{col 49}{space 3}0.871{col 57}{space 4} .6038271{col 70}{space 3} 1.533414
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .9833206{col 29}{space 2} .2258887{col 40}{space 1}   -0.07{col 49}{space 3}0.942{col 57}{space 4} .6268403{col 70}{space 3} 1.542529
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .7575265{col 29}{space 2} .1654887{col 40}{space 1}   -1.27{col 49}{space 3}0.204{col 57}{space 4} .4936794{col 70}{space 3} 1.162387
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} 1.060091{col 29}{space 2} .2792425{col 40}{space 1}    0.22{col 49}{space 3}0.825{col 57}{space 4} .6325941{col 70}{space 3} 1.776484
{txt}{space 9}social {c |}{col 17}{res}{space 2} .9585095{col 29}{space 2} .1902018{col 40}{space 1}   -0.21{col 49}{space 3}0.831{col 57}{space 4} .6496633{col 70}{space 3} 1.414179
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.208668{col 29}{space 2} .1452324{col 40}{space 1}    1.58{col 49}{space 3}0.115{col 57}{space 4} .9550526{col 70}{space 3}  1.52963
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9304163{col 29}{space 2} .0530834{col 40}{space 1}   -1.26{col 49}{space 3}0.206{col 57}{space 4} .8319809{col 70}{space 3} 1.040498
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7067891{col 29}{space 2}  .094318{col 40}{space 1}   -2.60{col 49}{space 3}0.009{col 57}{space 4} .5441274{col 70}{space 3}  .918077
{txt}policy_majage~y {c |}{col 17}{res}{space 2}  1.09648{col 29}{space 2}  .258528{col 40}{space 1}    0.39{col 49}{space 3}0.696{col 57}{space 4} .6907243{col 70}{space 3} 1.740592
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .8679791{col 29}{space 2} .1635431{col 40}{space 1}   -0.75{col 49}{space 3}0.452{col 57}{space 4} .5999669{col 70}{space 3} 1.255715
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.029855{col 29}{space 2} .2674798{col 40}{space 1}    0.11{col 49}{space 3}0.910{col 57}{space 4} .6190092{col 70}{space 3} 1.713385
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.853239{col 29}{space 2} .5366402{col 40}{space 1}    2.13{col 49}{space 3}0.033{col 57}{space 4} 1.050631{col 70}{space 3} 3.268985
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.464897{col 29}{space 2} .4598245{col 40}{space 1}    1.22{col 49}{space 3}0.224{col 57}{space 4} .7918063{col 70}{space 3} 2.710163
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .8483449{col 29}{space 2} .2470706{col 40}{space 1}   -0.56{col 49}{space 3}0.572{col 57}{space 4} .4793689{col 70}{space 3} 1.501326
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .9553207{col 29}{space 2}   .39703{col 40}{space 1}   -0.11{col 49}{space 3}0.912{col 57}{space 4} .4230492{col 70}{space 3} 2.157285
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.173481{col 29}{space 2} .1967543{col 40}{space 1}    0.95{col 49}{space 3}0.340{col 57}{space 4}  .844807{col 70}{space 3} 1.630027
{txt}{space 12}10  {c |}{col 17}{res}{space 2} 1.228311{col 29}{space 2}  .348059{col 40}{space 1}    0.73{col 49}{space 3}0.468{col 57}{space 4} .7048692{col 70}{space 3} 2.140465
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 2.216007{col 29}{space 2} .9081704{col 40}{space 1}    1.94{col 49}{space 3}0.052{col 57}{space 4} .9924972{col 70}{space 3}  4.94781
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  2.29836{col 29}{space 2}  .619241{col 40}{space 1}    3.09{col 49}{space 3}0.002{col 57}{space 4} 1.355443{col 70}{space 3} 3.897221
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .7072627{col 29}{space 2} .2160804{col 40}{space 1}   -1.13{col 49}{space 3}0.257{col 57}{space 4} .3886196{col 70}{space 3} 1.287173
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.672431{col 29}{space 2} 1.003878{col 40}{space 1}    0.86{col 49}{space 3}0.392{col 57}{space 4} .5157199{col 70}{space 3} 5.423537
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 2.770158{col 29}{space 2} 1.264262{col 40}{space 1}    2.23{col 49}{space 3}0.026{col 57}{space 4} 1.132473{col 70}{space 3} 6.776124
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.997963{col 29}{space 2} .8884757{col 40}{space 1}    1.56{col 49}{space 3}0.120{col 57}{space 4} .8357299{col 70}{space 3}  4.77649
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .3337617{col 29}{space 2} .1524553{col 40}{space 1}   -2.40{col 49}{space 3}0.016{col 57}{space 4} .1363407{col 70}{space 3} .8170477
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .4478321{col 29}{space 2}  .145949{col 40}{space 1}   -2.46{col 49}{space 3}0.014{col 57}{space 4} .2364327{col 70}{space 3}  .848248
{txt}{space 12}20  {c |}{col 17}{res}{space 2}  1.58317{col 29}{space 2} .8929657{col 40}{space 1}    0.81{col 49}{space 3}0.415{col 57}{space 4} .5241054{col 70}{space 3} 4.782294
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.142578{col 29}{space 2} .5556745{col 40}{space 1}    0.27{col 49}{space 3}0.784{col 57}{space 4} .4404712{col 70}{space 3} 2.963836
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9290876{col 29}{space 2} .6345311{col 40}{space 1}   -0.11{col 49}{space 3}0.914{col 57}{space 4} .2436232{col 70}{space 3} 3.543191
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 2.011008{col 29}{space 2} 1.168357{col 40}{space 1}    1.20{col 49}{space 3}0.229{col 57}{space 4} .6439947{col 70}{space 3} 6.279794
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .5639261{col 29}{space 2} .4990636{col 40}{space 1}   -0.65{col 49}{space 3}0.517{col 57}{space 4} .0995234{col 70}{space 3} 3.195354
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .8420887{col 29}{space 2}  .775335{col 40}{space 1}   -0.19{col 49}{space 3}0.852{col 57}{space 4} .1385582{col 70}{space 3}   5.1178
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 7.570925{col 29}{space 2} 12.59593{col 40}{space 1}    1.22{col 49}{space 3}0.224{col 57}{space 4} .2903919{col 70}{space 3} 197.3847
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .1510758{col 29}{space 2}  .034854{col 40}{space 1}    4.33{col 49}{space 3}0.000{col 57}{space 4} .0827632{col 70}{space 3} .2193884
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.163085{col 29}{space 2} .0405382{col 57}{space 4} 1.086285{col 70}{space 3} 1.245315
{txt}            1/p {c |}{col 17}{res}{space 2} .8597825{col 29}{space 2} .0299669{col 57}{space 4} .8030097{col 70}{space 3} .9205691
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1"  [IDPRESALLY==1]  *
. lincomest (chair_pres1 * 0.265 +  1.sendivide#c.chair_pres1 * 0.3219376) - chair_pres1 * 0.265, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.265+1.sendivide#c.chair_pres1*0.3219376)-chair_pres1*0.265

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.101551{col 26}{space 2} .1658704{col 37}{space 1}    0.64{col 46}{space 3}0.521{col 54}{space 4} .8200336{col 67}{space 3} 1.479714
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD4a = r(table)
{txt}
{com}. mat list modelD4a
{res}
{txt}modelD4a[9,1]
               (1)
     b {res} 1.1015512
{txt}    se {res} .16587043
{txt}     z {res} .64231656
{txt}pvalue {res} .52066766
{txt}    ll {res} .82003359
{txt}    ul {res} 1.4797138
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. 
. 
. **** CREATE FIGURE D1 BASED ON MARGINAL HAZARD RATIO ESTIMATE EFFECTS FROM MODELS D1.A - D4.A ****
. 
. 
. **** FIGURE D1 ****
. 
. matrix A = J(4, 3, .)
{txt}
{com}. matrix coln A = Point ll95 ul95
{txt}
{com}. matrix rown A = 1 2 3 4
{txt}
{com}. 
. matrix A[1,1] = modelD1a[1,1]
{txt}
{com}. matrix A[1,2] = modelD1a[5,1]
{txt}
{com}. matrix A[1,3] = modelD1a[6,1]
{txt}
{com}. 
. matrix A[2,1] = modelD2a[1,1]
{txt}
{com}. matrix A[2,2] = modelD2a[5,1]
{txt}
{com}. matrix A[2,3] = modelD2a[6,1]
{txt}
{com}. 
. matrix A[3,1] = modelD3a[1,1]
{txt}
{com}. matrix A[3,2] = modelD3a[5,1]
{txt}
{com}. matrix A[3,3] = modelD3a[6,1]
{txt}
{com}. 
. matrix A[4,1] = modelD4a[1,1]
{txt}
{com}. matrix A[4,2] = modelD4a[5,1]
{txt}
{com}. matrix A[4,3] = modelD4a[6,1]
{txt}
{com}. 
. 
. **********
. 
. coefplot (matrix(A[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model D1.A" 2 "Model D2.A" 3 "Model D3.A" 4 "Model D4.A", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)3, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE D1", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Presidential Ideologically-Aligned Agencies)", size(small))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. 
. graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix D/FigureD1.gph", replace
{res}{txt}file {bf:/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix D/FigureD1.gph} saved

{com}. 
. 
. 
. 
. ********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************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. 
. 
. 
. 
. 
. *** B. PRESIDENTIAL IDEOLOGICALLY-OPPOSED AGENCIES ***
. 
. 
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D1.B: COX SEMIPARAMETRIC MODEL] -- IDPRESOPPOSE==1 *
. 
. stcox  c.committee_pres1##i.sendivide   pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1  i.presrev  if idpresoppose==1,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-11571.352
{txt}Iteration 1:  Log pseudolikelihood = {res}-11448.624
{txt}Iteration 2:  Log pseudolikelihood = {res}-11359.545
{txt}Iteration 3:  Log pseudolikelihood = {res}-11354.099
{txt}Iteration 4:  Log pseudolikelihood = {res}-11354.038
{txt}Iteration 5:  Log pseudolikelihood = {res}-11354.038
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-11354.038

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:2,250}{col 54}{txt}{lalign 13:Number of obs} = {res}{ralign 9:2,250}
{txt}No. of failures = {res}{ralign 7:1,667}
{txt}Time at risk    = {res}{ralign 7:210,274}
{col 54}{txt}{lalign 13:Wald chi2({res:18})} = {res}{ralign 9:155540.14}
{txt}Log pseudolikelihood = {res}-11354.038{col 54}{txt}{lalign 13:Prob > chi2} = {res}{ralign 9:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:19} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2}  .801039{col 29}{space 2} .9713246{col 40}{space 1}   -0.18{col 49}{space 3}0.855{col 57}{space 4}  .074388{col 70}{space 3}   8.6259
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .1932602{col 29}{space 2} .2313128{col 40}{space 1}   -1.37{col 49}{space 3}0.170{col 57}{space 4} .0185072{col 70}{space 3} 2.018107
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2}   6.9448{col 29}{space 2} 11.36324{col 40}{space 1}    1.18{col 49}{space 3}0.236{col 57}{space 4} .2811278{col 70}{space 3} 171.5599
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .5044552{col 29}{space 2}  .690488{col 40}{space 1}   -0.50{col 49}{space 3}0.617{col 57}{space 4} .0344918{col 70}{space 3} 7.377851
{txt}experience_me~n {c |}{col 17}{res}{space 2}  1.01072{col 29}{space 2} .0094756{col 40}{space 1}    1.14{col 49}{space 3}0.255{col 57}{space 4} .9923176{col 70}{space 3} 1.029464
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9894667{col 29}{space 2} .0065818{col 40}{space 1}   -1.59{col 49}{space 3}0.111{col 57}{space 4} .9766503{col 70}{space 3} 1.002451
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7699342{col 29}{space 2} .0841945{col 40}{space 1}   -2.39{col 49}{space 3}0.017{col 57}{space 4} .6214016{col 70}{space 3} .9539703
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.006087{col 29}{space 2} .0045691{col 40}{space 1}    1.34{col 49}{space 3}0.181{col 57}{space 4} .9971719{col 70}{space 3} 1.015083
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.575247{col 29}{space 2}  .409898{col 40}{space 1}    5.94{col 49}{space 3}0.000{col 57}{space 4}   1.8851{col 70}{space 3}  3.51806
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .8237743{col 29}{space 2} .1046493{col 40}{space 1}   -1.53{col 49}{space 3}0.127{col 57}{space 4} .6422065{col 70}{space 3} 1.056676
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8521069{col 29}{space 2} .0863834{col 40}{space 1}   -1.58{col 49}{space 3}0.114{col 57}{space 4} .6985579{col 70}{space 3} 1.039407
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} 1.000065{col 29}{space 2} .0000606{col 40}{space 1}    1.08{col 49}{space 3}0.281{col 57}{space 4} .9999466{col 70}{space 3} 1.000184
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} 9.407899{col 29}{space 2}  13.7548{col 40}{space 1}    1.53{col 49}{space 3}0.125{col 57}{space 4}  .535791{col 70}{space 3} 165.1923
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.003481{col 29}{space 2} .0024173{col 40}{space 1}    1.44{col 49}{space 3}0.149{col 57}{space 4} .9987548{col 70}{space 3} 1.008231
{txt}{space 9}female {c |}{col 17}{res}{space 2}   1.0519{col 29}{space 2} .0594033{col 40}{space 1}    0.90{col 49}{space 3}0.370{col 57}{space 4} .9416833{col 70}{space 3} 1.175016
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9447126{col 29}{space 2} .1055902{col 40}{space 1}   -0.51{col 49}{space 3}0.611{col 57}{space 4} .7588592{col 70}{space 3} 1.176084
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .8557364{col 29}{space 2} .1228936{col 40}{space 1}   -1.08{col 49}{space 3}0.278{col 57}{space 4} .6457994{col 70}{space 3}  1.13392
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8248426{col 29}{space 2} .0722299{col 40}{space 1}   -2.20{col 49}{space 3}0.028{col 57}{space 4} .6947571{col 70}{space 3} .9792851
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .6972858{col 29}{space 2} .1408934{col 40}{space 1}   -1.78{col 49}{space 3}0.074{col 57}{space 4}  .469264{col 70}{space 3} 1.036106
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7880775{col 29}{space 2} .0957165{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4} .6211345{col 70}{space 3}   .99989
{txt}{space 8}defense {c |}{col 17}{res}{space 2} 1.028614{col 29}{space 2} .4137435{col 40}{space 1}    0.07{col 49}{space 3}0.944{col 57}{space 4} .4675952{col 70}{space 3}  2.26274
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .8413879{col 29}{space 2} .1432826{col 40}{space 1}   -1.01{col 49}{space 3}0.311{col 57}{space 4} .6026185{col 70}{space 3} 1.174763
{txt}{space 9}social {c |}{col 17}{res}{space 2} 1.078136{col 29}{space 2} .1262515{col 40}{space 1}    0.64{col 49}{space 3}0.521{col 57}{space 4} .8570314{col 70}{space 3} 1.356284
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} .9394043{col 29}{space 2} .0585947{col 40}{space 1}   -1.00{col 49}{space 3}0.316{col 57}{space 4} .8313031{col 70}{space 3} 1.061563
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9397296{col 29}{space 2} .1091523{col 40}{space 1}   -0.54{col 49}{space 3}0.593{col 57}{space 4} .7483993{col 70}{space 3} 1.179974
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .6874814{col 29}{space 2}  .100208{col 40}{space 1}   -2.57{col 49}{space 3}0.010{col 57}{space 4} .5166411{col 70}{space 3} .9148144
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.229104{col 29}{space 2} .1460489{col 40}{space 1}    1.74{col 49}{space 3}0.083{col 57}{space 4}  .973743{col 70}{space 3} 1.551433
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .6768605{col 29}{space 2} .1673387{col 40}{space 1}   -1.58{col 49}{space 3}0.114{col 57}{space 4} .4169256{col 70}{space 3} 1.098854
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .8178155{col 29}{space 2} .1000207{col 40}{space 1}   -1.64{col 49}{space 3}0.100{col 57}{space 4} .6435044{col 70}{space 3} 1.039344
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .7799418{col 29}{space 2} .1258292{col 40}{space 1}   -1.54{col 49}{space 3}0.123{col 57}{space 4}  .568508{col 70}{space 3}  1.07001
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.237857{col 29}{space 2} .2910136{col 40}{space 1}    0.91{col 49}{space 3}0.364{col 57}{space 4} .7808315{col 70}{space 3} 1.962381
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.727847{col 29}{space 2} .5503257{col 40}{space 1}    1.72{col 49}{space 3}0.086{col 57}{space 4} .9255384{col 70}{space 3} 3.225642
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.131471{col 29}{space 2} .2271377{col 40}{space 1}    0.62{col 49}{space 3}0.538{col 57}{space 4} .7634293{col 70}{space 3} 1.676943
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.287074{col 29}{space 2} .5337095{col 40}{space 1}    0.61{col 49}{space 3}0.543{col 57}{space 4} .5710009{col 70}{space 3} 2.901151
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .6233317{col 29}{space 2} .1436918{col 40}{space 1}   -2.05{col 49}{space 3}0.040{col 57}{space 4}  .396733{col 70}{space 3} .9793549
{txt}{space 12}10  {c |}{col 17}{res}{space 2}  .651612{col 29}{space 2} .2919612{col 40}{space 1}   -0.96{col 49}{space 3}0.339{col 57}{space 4} .2707695{col 70}{space 3} 1.568117
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.753514{col 29}{space 2} .8091065{col 40}{space 1}    1.22{col 49}{space 3}0.224{col 57}{space 4}  .709819{col 70}{space 3} 4.331823
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.269292{col 29}{space 2} .7956119{col 40}{space 1}    0.38{col 49}{space 3}0.704{col 57}{space 4} .3715481{col 70}{space 3} 4.336186
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .4080448{col 29}{space 2} .0790654{col 40}{space 1}   -4.63{col 49}{space 3}0.000{col 57}{space 4} .2791089{col 70}{space 3} .5965435
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .8116142{col 29}{space 2} .2375628{col 40}{space 1}   -0.71{col 49}{space 3}0.476{col 57}{space 4} .4572981{col 70}{space 3} 1.440455
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.917429{col 29}{space 2} 1.123556{col 40}{space 1}    1.11{col 49}{space 3}0.267{col 57}{space 4} .6080517{col 70}{space 3} 6.046415
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.140836{col 29}{space 2} .6471279{col 40}{space 1}    0.23{col 49}{space 3}0.816{col 57}{space 4} .3753081{col 70}{space 3} 3.467838
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .6184756{col 29}{space 2} .2647151{col 40}{space 1}   -1.12{col 49}{space 3}0.262{col 57}{space 4} .2672994{col 70}{space 3} 1.431025
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .2827448{col 29}{space 2} .0445647{col 40}{space 1}   -8.01{col 49}{space 3}0.000{col 57}{space 4} .2076026{col 70}{space 3}  .385085
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.141502{col 29}{space 2} .4441276{col 40}{space 1}    0.34{col 49}{space 3}0.734{col 57}{space 4} .5324725{col 70}{space 3} 2.447125
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 2.039046{col 29}{space 2} .5993389{col 40}{space 1}    2.42{col 49}{space 3}0.015{col 57}{space 4} 1.146127{col 70}{space 3} 3.627618
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.069397{col 29}{space 2} .5025483{col 40}{space 1}    0.14{col 49}{space 3}0.886{col 57}{space 4} .4257245{col 70}{space 3} 2.686268
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .5749705{col 29}{space 2} .1971089{col 40}{space 1}   -1.61{col 49}{space 3}0.106{col 57}{space 4} .2936569{col 70}{space 3} 1.125773
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .4833233{col 29}{space 2} .2754405{col 40}{space 1}   -1.28{col 49}{space 3}0.202{col 57}{space 4} .1581785{col 70}{space 3} 1.476821
{txt}{space 13}6  {c |}{col 17}{res}{space 2}  .415517{col 29}{space 2} .2010829{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4} .1609397{col 70}{space 3} 1.072789
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.4312148      -.4976805
{txt} 5%    {res}-.4038783      -.4976805
{txt}10%    {res} -.384061      -.4312148       {txt}Obs         {res}      1,245
{txt}25%    {res}-.3220448      -.4312148       {txt}Sum of wgt. {res}      1,245

{txt}50%    {res}-.1952462                      {txt}Mean          {res}-.1735845
                        {txt}Largest       Std. dev.     {res} .1864696
{txt}75%    {res}-.0894062       .4655938
{txt}90%    {res} .0905807       .4655938       {txt}Variance      {res} .0347709
{txt}95%    {res} .2121217        .490939       {txt}Skewness      {res} 1.160704
{txt}99%    {res} .4655938        .490939       {txt}Kurtosis      {res} 4.659857
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.0252148      -.0977183
{txt} 5%    {res}-.0252148      -.0370625
{txt}10%    {res} .0441217      -.0370625       {txt}Obs         {res}      1,005
{txt}25%    {res} .1347538      -.0370625       {txt}Sum of wgt. {res}      1,005

{txt}50%    {res} .2363921                      {txt}Mean          {res} .2371844
                        {txt}Largest       Std. dev.     {res} .1484224
{txt}75%    {res} .3713921       .4706168
{txt}90%    {res} .4655938       .4706168       {txt}Variance      {res} .0220292
{txt}95%    {res} .4655938       .4706168       {txt}Skewness      {res} .0012364
{txt}99%    {res} .4655938       .4706168       {txt}Kurtosis      {res} 2.044926
{txt}
{com}. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1" -- IDPRESOPPOSE==1 *
. lincomest (committee_pres1 * 0.2326386 +  1.sendivide#c.committee_pres1 * 0.2366383) - committee_pres1 * 0.2326386, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.2326386+1.sendivide#c.committee_pres1*0.2366383)-committee_pres1*0.2326386

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.581863{col 26}{space 2} .6124866{col 37}{space 1}    1.18{col 46}{space 3}0.236{col 54}{space 4} .7406099{col 67}{space 3}  3.37869
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD1b = r(table)
{txt}
{com}. mat list modelD1b
{res}
{txt}modelD1b[9,1]
               (1)
     b {res} 1.5818632
{txt}    se {res} .61248661
{txt}     z {res} 1.1844305
{txt}pvalue {res} .23624267
{txt}    ll {res}  .7406099
{txt}    ul {res} 3.3786899
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. 
. 
. 
. 
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D2.B: COX SEMIPARAMETRIC MODEL] -- IDPRESOPPOSE==1 *
. 
. stcox  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev   if idpresoppose==1,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}-11571.352
{txt}Iteration 1:  Log pseudolikelihood = {res}-11451.601
{txt}Iteration 2:  Log pseudolikelihood = {res}-11361.083
{txt}Iteration 3:  Log pseudolikelihood = {res}-11355.482
{txt}Iteration 4:  Log pseudolikelihood = {res}-11355.418
{txt}Iteration 5:  Log pseudolikelihood = {res}-11355.418
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-11355.418

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:2,250}{col 53}{txt}{lalign 13:Number of obs} = {res}{ralign 10:2,250}
{txt}No. of failures = {res}{ralign 7:1,667}
{txt}Time at risk    = {res}{ralign 7:210,274}
{col 53}{txt}{lalign 13:Wald chi2({res:18})} = {res}{ralign 10:1167907.54}
{txt}Log pseudolikelihood = {res}-11355.418{col 53}{txt}{lalign 13:Prob > chi2} = {res}{ralign 10:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:19} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} 1.108967{col 29}{space 2} .7613419{col 40}{space 1}    0.15{col 49}{space 3}0.880{col 57}{space 4} .2887627{col 70}{space 3} 4.258887
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .4406424{col 29}{space 2} .4595901{col 40}{space 1}   -0.79{col 49}{space 3}0.432{col 57}{space 4} .0570536{col 70}{space 3} 3.403218
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 1.611235{col 29}{space 2} 1.962988{col 40}{space 1}    0.39{col 49}{space 3}0.695{col 57}{space 4} .1479548{col 70}{space 3} 17.54643
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .3319776{col 29}{space 2} .5412617{col 40}{space 1}   -0.68{col 49}{space 3}0.499{col 57}{space 4} .0135924{col 70}{space 3} 8.108147
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.013378{col 29}{space 2} .0062438{col 40}{space 1}    2.16{col 49}{space 3}0.031{col 57}{space 4} 1.001214{col 70}{space 3}  1.02569
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9920009{col 29}{space 2} .0076398{col 40}{space 1}   -1.04{col 49}{space 3}0.297{col 57}{space 4} .9771396{col 70}{space 3} 1.007088
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7698641{col 29}{space 2} .1153224{col 40}{space 1}   -1.75{col 49}{space 3}0.081{col 57}{space 4} .5739945{col 70}{space 3} 1.032572
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.004338{col 29}{space 2} .0046456{col 40}{space 1}    0.94{col 49}{space 3}0.349{col 57}{space 4} .9952735{col 70}{space 3} 1.013484
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.574423{col 29}{space 2} .3627145{col 40}{space 1}    6.71{col 49}{space 3}0.000{col 57}{space 4} 1.953228{col 70}{space 3} 3.393181
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .8060669{col 29}{space 2} .1042106{col 40}{space 1}   -1.67{col 49}{space 3}0.095{col 57}{space 4} .6256412{col 70}{space 3} 1.038525
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2}  .825698{col 29}{space 2} .0951634{col 40}{space 1}   -1.66{col 49}{space 3}0.097{col 57}{space 4} .6587468{col 70}{space 3} 1.034961
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} 1.000079{col 29}{space 2} .0000626{col 40}{space 1}    1.26{col 49}{space 3}0.208{col 57}{space 4} .9999562{col 70}{space 3} 1.000201
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} 3.209933{col 29}{space 2} 4.613045{col 40}{space 1}    0.81{col 49}{space 3}0.417{col 57}{space 4} .1919645{col 70}{space 3} 53.67488
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.003208{col 29}{space 2} .0023916{col 40}{space 1}    1.34{col 49}{space 3}0.179{col 57}{space 4} .9985312{col 70}{space 3} 1.007906
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.053535{col 29}{space 2} .0560822{col 40}{space 1}    0.98{col 49}{space 3}0.327{col 57}{space 4} .9491559{col 70}{space 3} 1.169393
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9394816{col 29}{space 2} .0987236{col 40}{space 1}   -0.59{col 49}{space 3}0.552{col 57}{space 4} .7646125{col 70}{space 3} 1.154344
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .8345548{col 29}{space 2} .1235658{col 40}{space 1}   -1.22{col 49}{space 3}0.222{col 57}{space 4} .6243445{col 70}{space 3} 1.115541
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8191615{col 29}{space 2} .0681017{col 40}{space 1}   -2.40{col 49}{space 3}0.016{col 57}{space 4} .6959918{col 70}{space 3} .9641286
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .6908496{col 29}{space 2} .1535816{col 40}{space 1}   -1.66{col 49}{space 3}0.096{col 57}{space 4} .4468423{col 70}{space 3} 1.068102
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7932506{col 29}{space 2} .0953777{col 40}{space 1}   -1.93{col 49}{space 3}0.054{col 57}{space 4} .6267075{col 70}{space 3} 1.004051
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9634516{col 29}{space 2} .3617985{col 40}{space 1}   -0.10{col 49}{space 3}0.921{col 57}{space 4}  .461513{col 70}{space 3} 2.011295
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2}  .854845{col 29}{space 2} .1353569{col 40}{space 1}   -0.99{col 49}{space 3}0.322{col 57}{space 4} .6267688{col 70}{space 3} 1.165916
{txt}{space 9}social {c |}{col 17}{res}{space 2} 1.076502{col 29}{space 2} .1220512{col 40}{space 1}    0.65{col 49}{space 3}0.516{col 57}{space 4} .8620007{col 70}{space 3}  1.34438
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} .8993946{col 29}{space 2} .0606522{col 40}{space 1}   -1.57{col 49}{space 3}0.116{col 57}{space 4} .7880396{col 70}{space 3} 1.026485
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9373449{col 29}{space 2} .1039964{col 40}{space 1}   -0.58{col 49}{space 3}0.560{col 57}{space 4} .7541547{col 70}{space 3} 1.165033
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2}  .706319{col 29}{space 2} .1073753{col 40}{space 1}   -2.29{col 49}{space 3}0.022{col 57}{space 4} .5243249{col 70}{space 3} .9514837
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.245002{col 29}{space 2} .1523325{col 40}{space 1}    1.79{col 49}{space 3}0.073{col 57}{space 4} .9795381{col 70}{space 3}  1.58241
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .4880578{col 29}{space 2} .1204987{col 40}{space 1}   -2.91{col 49}{space 3}0.004{col 57}{space 4} .3008254{col 70}{space 3} .7918228
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .6738632{col 29}{space 2} .1165067{col 40}{space 1}   -2.28{col 49}{space 3}0.022{col 57}{space 4} .4801804{col 70}{space 3} .9456689
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  .618372{col 29}{space 2} .0950942{col 40}{space 1}   -3.13{col 49}{space 3}0.002{col 57}{space 4} .4574574{col 70}{space 3} .8358896
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .9179633{col 29}{space 2} .2946532{col 40}{space 1}   -0.27{col 49}{space 3}0.790{col 57}{space 4} .4893299{col 70}{space 3} 1.722063
{txt}{space 13}6  {c |}{col 17}{res}{space 2}  1.36441{col 29}{space 2} .4509725{col 40}{space 1}    0.94{col 49}{space 3}0.347{col 57}{space 4} .7138404{col 70}{space 3} 2.607888
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .9757748{col 29}{space 2} .1844348{col 40}{space 1}   -0.13{col 49}{space 3}0.897{col 57}{space 4} .6736912{col 70}{space 3} 1.413313
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .9364751{col 29}{space 2} .5300698{col 40}{space 1}   -0.12{col 49}{space 3}0.908{col 57}{space 4} .3088115{col 70}{space 3} 2.839873
{txt}{space 13}9  {c |}{col 17}{res}{space 2}  .485081{col 29}{space 2} .1515652{col 40}{space 1}   -2.32{col 49}{space 3}0.021{col 57}{space 4} .2629381{col 70}{space 3}  .894901
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .5224865{col 29}{space 2} .2792285{col 40}{space 1}   -1.21{col 49}{space 3}0.224{col 57}{space 4} .1833048{col 70}{space 3}  1.48928
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.356622{col 29}{space 2} .7831582{col 40}{space 1}    0.53{col 49}{space 3}0.597{col 57}{space 4} .4375951{col 70}{space 3} 4.205766
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.025076{col 29}{space 2} .7534003{col 40}{space 1}    0.03{col 49}{space 3}0.973{col 57}{space 4}  .242744{col 70}{space 3} 4.328763
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .4392826{col 29}{space 2} .0974704{col 40}{space 1}   -3.71{col 49}{space 3}0.000{col 57}{space 4} .2843641{col 70}{space 3} .6785988
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .8657988{col 29}{space 2} .3503555{col 40}{space 1}   -0.36{col 49}{space 3}0.722{col 57}{space 4} .3917134{col 70}{space 3} 1.913663
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.279895{col 29}{space 2} .9951377{col 40}{space 1}    0.32{col 49}{space 3}0.751{col 57}{space 4} .2788385{col 70}{space 3} 5.874844
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .8775259{col 29}{space 2} .5962315{col 40}{space 1}   -0.19{col 49}{space 3}0.848{col 57}{space 4} .2316938{col 70}{space 3} 3.323575
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5252583{col 29}{space 2} .2373969{col 40}{space 1}   -1.42{col 49}{space 3}0.154{col 57}{space 4} .2166017{col 70}{space 3} 1.273749
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .2742987{col 29}{space 2} .0480478{col 40}{space 1}   -7.38{col 49}{space 3}0.000{col 57}{space 4} .1945908{col 70}{space 3} .3866564
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.009395{col 29}{space 2} .2837006{col 40}{space 1}    0.03{col 49}{space 3}0.973{col 57}{space 4}  .581865{col 70}{space 3} 1.751055
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.821466{col 29}{space 2} .4714616{col 40}{space 1}    2.32{col 49}{space 3}0.021{col 57}{space 4} 1.096728{col 70}{space 3} 3.025122
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .8887647{col 29}{space 2} .4412457{col 40}{space 1}   -0.24{col 49}{space 3}0.812{col 57}{space 4} .3358846{col 70}{space 3} 2.351708
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  .575324{col 29}{space 2} .2044432{col 40}{space 1}   -1.56{col 49}{space 3}0.120{col 57}{space 4}  .286705{col 70}{space 3} 1.154489
{txt}{space 13}5  {c |}{col 17}{res}{space 2}  .413647{col 29}{space 2} .3099312{col 40}{space 1}   -1.18{col 49}{space 3}0.239{col 57}{space 4} .0952477{col 70}{space 3} 1.796409
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .3943869{col 29}{space 2} .2373494{col 40}{space 1}   -1.55{col 49}{space 3}0.122{col 57}{space 4} .1212421{col 70}{space 3} 1.282896
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5493055      -.5904375
{txt} 5%    {res}-.5065913      -.5904375
{txt}10%    {res}-.4852139      -.5904375       {txt}Obs         {res}      1,245
{txt}25%    {res}-.4567915      -.5904375       {txt}Sum of wgt. {res}      1,245

{txt}50%    {res}-.3629315                      {txt}Mean          {res} -.316212
                        {txt}Largest       Std. dev.     {res} .2225815
{txt}75%    {res}-.2895913       .6940686
{txt}90%    {res}-.1779315       .6940686       {txt}Variance      {res} .0495425
{txt}95%    {res}-.1251515       .6940686       {txt}Skewness      {res} 2.830503
{txt}99%    {res} .6940686       .6940686       {txt}Kurtosis      {res} 12.25244
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res} .0763208       -.218764
{txt} 5%    {res} .0834087       -.218764
{txt}10%    {res} .2129185       .0763208       {txt}Obs         {res}      1,005
{txt}25%    {res} .2786681       .0763208       {txt}Sum of wgt. {res}      1,005

{txt}50%    {res} .3327861                      {txt}Mean          {res} .3744518
                        {txt}Largest       Std. dev.     {res} .1732141
{txt}75%    {res} .4524087       .7534087
{txt}90%    {res} .6940686       .7534087       {txt}Variance      {res} .0300031
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res} .5402765
{txt}99%    {res} .6973208       .7534087       {txt}Kurtosis      {res} 2.879799
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" -- IDPRESOPPOSE==1 *
. lincomest (chair_pres1 * 0.1672002 +  1.sendivide#c.chair_pres1 * 0.1737406) - chair_pres1 * 0.1672002, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.1672002+1.sendivide#c.chair_pres1*0.1737406)-chair_pres1*0.1672002

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.086405{col 26}{space 2} .2299599{col 37}{space 1}    0.39{col 46}{space 3}0.695{col 54}{space 4} .7174931{col 67}{space 3} 1.645001
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD2b = r(table)
{txt}
{com}. mat list modelD2b
{res}
{txt}modelD2b[9,1]
               (1)
     b {res} 1.0864054
{txt}    se {res} .22995988
{txt}     z {res} .39152577
{txt}pvalue {res} .69540865
{txt}    ll {res} .71749308
{txt}    ul {res} 1.6450007
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. 
. 
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D3.B: WEIBULL PARAMETRIC MODEL] -- IDPRESOPPOSE==1 *
. 
. streg c.committee_pres1##i.sendivide   pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev if idpresoppose==1,  distribution(weibull) vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-3214.6378
{txt}Iteration 1:  Log pseudolikelihood = {res} -3213.525
{txt}Iteration 2:  Log pseudolikelihood = {res} -3213.525

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res: -3213.525}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-3087.7605}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-2962.2437}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-2958.8267}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-2958.8056}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-2958.8056}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:2,250}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:2,250}
{txt}No. of failures = {res}{ralign 7:1,667}
{txt}Time at risk    = {res}{ralign 7:210,274}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(15)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-2958.8056{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:19} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} 1.225058{col 29}{space 2} 1.666512{col 40}{space 1}    0.15{col 49}{space 3}0.881{col 57}{space 4} .0851572{col 70}{space 3} 17.62349
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .1500912{col 29}{space 2} .2117984{col 40}{space 1}   -1.34{col 49}{space 3}0.179{col 57}{space 4} .0094449{col 70}{space 3} 2.385132
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 8.536624{col 29}{space 2} 16.23309{col 40}{space 1}    1.13{col 49}{space 3}0.259{col 57}{space 4} .2054267{col 70}{space 3} 354.7443
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .2780245{col 29}{space 2} .4076152{col 40}{space 1}   -0.87{col 49}{space 3}0.383{col 57}{space 4} .0157082{col 70}{space 3} 4.920853
{txt}experience_me~n {c |}{col 17}{res}{space 2} 1.020215{col 29}{space 2}  .010006{col 40}{space 1}    2.04{col 49}{space 3}0.041{col 57}{space 4} 1.000791{col 70}{space 3} 1.040016
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9899658{col 29}{space 2} .0073395{col 40}{space 1}   -1.36{col 49}{space 3}0.174{col 57}{space 4} .9756847{col 70}{space 3} 1.004456
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7183298{col 29}{space 2} .0860483{col 40}{space 1}   -2.76{col 49}{space 3}0.006{col 57}{space 4} .5680139{col 70}{space 3} .9084244
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.008541{col 29}{space 2} .0042724{col 40}{space 1}    2.01{col 49}{space 3}0.045{col 57}{space 4} 1.000202{col 70}{space 3}  1.01695
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.198262{col 29}{space 2} .3708644{col 40}{space 1}    4.67{col 49}{space 3}0.000{col 57}{space 4} 1.579337{col 70}{space 3} 3.059736
{txt}{space 3}preselection {c |}{col 17}{res}{space 2}  .940285{col 29}{space 2} .1260724{col 40}{space 1}   -0.46{col 49}{space 3}0.646{col 57}{space 4} .7229883{col 70}{space 3} 1.222891
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8613432{col 29}{space 2} .0928163{col 40}{space 1}   -1.39{col 49}{space 3}0.166{col 57}{space 4} .6973533{col 70}{space 3} 1.063897
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2}  1.00005{col 29}{space 2} .0000774{col 40}{space 1}    0.64{col 49}{space 3}0.519{col 57}{space 4} .9998982{col 70}{space 3} 1.000201
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} 15.46265{col 29}{space 2} 21.99998{col 40}{space 1}    1.92{col 49}{space 3}0.054{col 57}{space 4} .9510643{col 70}{space 3} 251.3959
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002864{col 29}{space 2} .0024104{col 40}{space 1}    1.19{col 49}{space 3}0.234{col 57}{space 4} .9981507{col 70}{space 3} 1.007599
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.034891{col 29}{space 2} .0628002{col 40}{space 1}    0.57{col 49}{space 3}0.572{col 57}{space 4} .9188425{col 70}{space 3} 1.165596
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2}  .963813{col 29}{space 2} .1183952{col 40}{space 1}   -0.30{col 49}{space 3}0.764{col 57}{space 4}  .757584{col 70}{space 3} 1.226182
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .8133227{col 29}{space 2} .1184991{col 40}{space 1}   -1.42{col 49}{space 3}0.156{col 57}{space 4} .6112867{col 70}{space 3} 1.082133
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8349103{col 29}{space 2}  .081408{col 40}{space 1}   -1.85{col 49}{space 3}0.064{col 57}{space 4} .6896731{col 70}{space 3} 1.010733
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .6443534{col 29}{space 2} .1545254{col 40}{space 1}   -1.83{col 49}{space 3}0.067{col 57}{space 4} .4027111{col 70}{space 3} 1.030991
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7786518{col 29}{space 2} .0919255{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4} .6178069{col 70}{space 3} .9813724
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .9520785{col 29}{space 2} .4137831{col 40}{space 1}   -0.11{col 49}{space 3}0.910{col 57}{space 4} .4061924{col 70}{space 3} 2.231586
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .7700546{col 29}{space 2} .1378978{col 40}{space 1}   -1.46{col 49}{space 3}0.145{col 57}{space 4} .5421161{col 70}{space 3} 1.093832
{txt}{space 9}social {c |}{col 17}{res}{space 2} 1.018451{col 29}{space 2} .1316195{col 40}{space 1}    0.14{col 49}{space 3}0.888{col 57}{space 4} .7905601{col 70}{space 3} 1.312034
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} .9211685{col 29}{space 2} .0587551{col 40}{space 1}   -1.29{col 49}{space 3}0.198{col 57}{space 4}  .812918{col 70}{space 3} 1.043834
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2}  .995011{col 29}{space 2}  .135981{col 40}{space 1}   -0.04{col 49}{space 3}0.971{col 57}{space 4} .7612026{col 70}{space 3} 1.300635
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7306608{col 29}{space 2} .1261022{col 40}{space 1}   -1.82{col 49}{space 3}0.069{col 57}{space 4} .5209667{col 70}{space 3} 1.024759
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.392865{col 29}{space 2}  .203894{col 40}{space 1}    2.26{col 49}{space 3}0.024{col 57}{space 4} 1.045457{col 70}{space 3} 1.855718
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .6996943{col 29}{space 2} .1817982{col 40}{space 1}   -1.37{col 49}{space 3}0.169{col 57}{space 4} .4204794{col 70}{space 3} 1.164319
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .8101721{col 29}{space 2} .0932905{col 40}{space 1}   -1.83{col 49}{space 3}0.068{col 57}{space 4} .6464906{col 70}{space 3} 1.015295
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .6626482{col 29}{space 2} .1433642{col 40}{space 1}   -1.90{col 49}{space 3}0.057{col 57}{space 4} .4336359{col 70}{space 3} 1.012607
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.224419{col 29}{space 2} .3078169{col 40}{space 1}    0.81{col 49}{space 3}0.421{col 57}{space 4}  .748065{col 70}{space 3} 2.004106
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.808744{col 29}{space 2} .5962821{col 40}{space 1}    1.80{col 49}{space 3}0.072{col 57}{space 4} .9479049{col 70}{space 3} 3.451355
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.201907{col 29}{space 2} .2562299{col 40}{space 1}    0.86{col 49}{space 3}0.388{col 57}{space 4} .7914192{col 70}{space 3} 1.825304
{txt}{space 13}8  {c |}{col 17}{res}{space 2} 1.311761{col 29}{space 2} .6181006{col 40}{space 1}    0.58{col 49}{space 3}0.565{col 57}{space 4}  .520918{col 70}{space 3}  3.30324
{txt}{space 13}9  {c |}{col 17}{res}{space 2}  .571655{col 29}{space 2} .1485153{col 40}{space 1}   -2.15{col 49}{space 3}0.031{col 57}{space 4} .3435522{col 70}{space 3} .9512073
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6539492{col 29}{space 2} .3284232{col 40}{space 1}   -0.85{col 49}{space 3}0.398{col 57}{space 4} .2443756{col 70}{space 3} 1.749969
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.496986{col 29}{space 2} .7914093{col 40}{space 1}    0.76{col 49}{space 3}0.445{col 57}{space 4} .5311464{col 70}{space 3} 4.219113
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.143156{col 29}{space 2} .8075686{col 40}{space 1}    0.19{col 49}{space 3}0.850{col 57}{space 4} .2862758{col 70}{space 3} 4.564849
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .3899256{col 29}{space 2} .0856454{col 40}{space 1}   -4.29{col 49}{space 3}0.000{col 57}{space 4}  .253524{col 70}{space 3} .5997142
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .5699068{col 29}{space 2} .1720806{col 40}{space 1}   -1.86{col 49}{space 3}0.063{col 57}{space 4} .3153462{col 70}{space 3} 1.029959
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.758858{col 29}{space 2} 1.116802{col 40}{space 1}    0.89{col 49}{space 3}0.374{col 57}{space 4} .5067024{col 70}{space 3} 6.105321
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .9819798{col 29}{space 2} .6286864{col 40}{space 1}   -0.03{col 49}{space 3}0.977{col 57}{space 4} .2799906{col 70}{space 3} 3.443988
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .5087503{col 29}{space 2} .2545591{col 40}{space 1}   -1.35{col 49}{space 3}0.177{col 57}{space 4} .1908078{col 70}{space 3}  1.35648
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .2402401{col 29}{space 2}   .04441{col 40}{space 1}   -7.71{col 49}{space 3}0.000{col 57}{space 4} .1672228{col 70}{space 3} .3451403
{txt}{space 12}20  {c |}{col 17}{res}{space 2} 1.077937{col 29}{space 2}  .454824{col 40}{space 1}    0.18{col 49}{space 3}0.859{col 57}{space 4} .4714522{col 70}{space 3} 2.464613
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 2.419206{col 29}{space 2} .7879902{col 40}{space 1}    2.71{col 49}{space 3}0.007{col 57}{space 4} 1.277666{col 70}{space 3} 4.580664
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9879183{col 29}{space 2} .4933098{col 40}{space 1}   -0.02{col 49}{space 3}0.981{col 57}{space 4} .3712613{col 70}{space 3} 2.628829
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  .539236{col 29}{space 2}  .190595{col 40}{space 1}   -1.75{col 49}{space 3}0.081{col 57}{space 4} .2697234{col 70}{space 3} 1.078051
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .4482222{col 29}{space 2} .2508155{col 40}{space 1}   -1.43{col 49}{space 3}0.152{col 57}{space 4} .1496853{col 70}{space 3}  1.34217
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .4002833{col 29}{space 2} .1921141{col 40}{space 1}   -1.91{col 49}{space 3}0.056{col 57}{space 4} .1562562{col 70}{space 3}  1.02541
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}  .009002{col 29}{space 2} .0134034{col 40}{space 1}   -3.16{col 49}{space 3}0.002{col 57}{space 4} .0004863{col 70}{space 3} .1666203
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .1012188{col 29}{space 2} .0509902{col 40}{space 1}    1.99{col 49}{space 3}0.047{col 57}{space 4} .0012799{col 70}{space 3} .2011578
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.106519{col 29}{space 2} .0564216{col 57}{space 4} 1.001281{col 70}{space 3} 1.222818
{txt}            1/p {c |}{col 17}{res}{space 2} .9037352{col 29}{space 2} .0460816{col 57}{space 4} .8177834{col 70}{space 3} .9987209
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. *
. *
. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1" -- IDPRESOPPOSE==1 *
. lincomest (committee_pres1 * 0.2326386 +  1.sendivide#c.committee_pres1 * 0.2366383) - committee_pres1 * 0.2326386, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.2326386+1.sendivide#c.committee_pres1*0.2366383)-committee_pres1*0.2326386

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.661032{col 26}{space 2} .7474429{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4} .6876197{col 67}{space 3} 4.012432
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD3b = r(table)
{txt}
{com}. mat list modelD3b
{res}
{txt}modelD3b[9,1]
               (1)
     b {res} 1.6610319
{txt}    se {res} .74744288
{txt}     z {res} 1.1276747
{txt}pvalue {res} .25945733
{txt}    ll {res} .68761965
{txt}    ul {res} 4.0124318
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. 
. 
. 
. 
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D4.B: WEIBULL PARAMETRIC MODEL] -- IDPRESOPPOSE==1 *
. 
. streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev if idpresoppose==1,  distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-3214.6378
{txt}Iteration 1:  Log pseudolikelihood = {res} -3213.525
{txt}Iteration 2:  Log pseudolikelihood = {res} -3213.525

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res: -3213.525}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-3091.1335}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-2965.4317}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-2962.0368}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-2962.0162}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-2962.0162}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:2,250}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:2,250}
{txt}No. of failures = {res}{ralign 7:1,667}
{txt}Time at risk    = {res}{ralign 7:210,274}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(15)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-2962.0162{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:19} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} 1.470464{col 29}{space 2} 1.141347{col 40}{space 1}    0.50{col 49}{space 3}0.619{col 57}{space 4} .3211942{col 70}{space 3} 6.731953
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3812805{col 29}{space 2} .4602837{col 40}{space 1}   -0.80{col 49}{space 3}0.424{col 57}{space 4} .0357824{col 70}{space 3} 4.062743
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 1.571018{col 29}{space 2} 2.191798{col 40}{space 1}    0.32{col 49}{space 3}0.746{col 57}{space 4} .1020073{col 70}{space 3} 24.19531
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .1791096{col 29}{space 2}  .319481{col 40}{space 1}   -0.96{col 49}{space 3}0.335{col 57}{space 4} .0054302{col 70}{space 3}  5.90775
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.015778{col 29}{space 2} .0073213{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4} 1.001529{col 70}{space 3} 1.030229
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9942525{col 29}{space 2} .0091959{col 40}{space 1}   -0.62{col 49}{space 3}0.533{col 57}{space 4} .9763913{col 70}{space 3}  1.01244
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .7254917{col 29}{space 2} .1235002{col 40}{space 1}   -1.89{col 49}{space 3}0.059{col 57}{space 4}  .519676{col 70}{space 3}  1.01282
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.005653{col 29}{space 2}  .004806{col 40}{space 1}    1.18{col 49}{space 3}0.238{col 57}{space 4} .9962774{col 70}{space 3} 1.015117
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.197115{col 29}{space 2} .3175128{col 40}{space 1}    5.45{col 49}{space 3}0.000{col 57}{space 4}  1.65517{col 70}{space 3} 2.916506
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .9231075{col 29}{space 2} .1197106{col 40}{space 1}   -0.62{col 49}{space 3}0.537{col 57}{space 4} .7159234{col 70}{space 3} 1.190249
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8343592{col 29}{space 2} .1068292{col 40}{space 1}   -1.41{col 49}{space 3}0.157{col 57}{space 4} .6491834{col 70}{space 3} 1.072355
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} 1.000069{col 29}{space 2} .0000786{col 40}{space 1}    0.87{col 49}{space 3}0.383{col 57}{space 4} .9999145{col 70}{space 3} 1.000223
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} 2.885075{col 29}{space 2} 4.003645{col 40}{space 1}    0.76{col 49}{space 3}0.445{col 57}{space 4} .1900802{col 70}{space 3} 43.79023
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002375{col 29}{space 2} .0023872{col 40}{space 1}    1.00{col 49}{space 3}0.319{col 57}{space 4} .9977076{col 70}{space 3} 1.007065
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.037604{col 29}{space 2} .0581286{col 40}{space 1}    0.66{col 49}{space 3}0.510{col 57}{space 4} .9297061{col 70}{space 3} 1.158024
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9574547{col 29}{space 2}  .108458{col 40}{space 1}   -0.38{col 49}{space 3}0.701{col 57}{space 4} .7668251{col 70}{space 3} 1.195474
{txt}{space 9}denied {c |}{col 17}{res}{space 2}  .774364{col 29}{space 2} .1189233{col 40}{space 1}   -1.67{col 49}{space 3}0.096{col 57}{space 4} .5730882{col 70}{space 3}  1.04633
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .8256333{col 29}{space 2} .0722818{col 40}{space 1}   -2.19{col 49}{space 3}0.029{col 57}{space 4} .6954517{col 70}{space 3} .9801836
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .6341911{col 29}{space 2} .1646857{col 40}{space 1}   -1.75{col 49}{space 3}0.079{col 57}{space 4} .3812252{col 70}{space 3} 1.055015
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7834412{col 29}{space 2} .0913003{col 40}{space 1}   -2.09{col 49}{space 3}0.036{col 57}{space 4} .6234613{col 70}{space 3} .9844719
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8786103{col 29}{space 2} .3542319{col 40}{space 1}   -0.32{col 49}{space 3}0.748{col 57}{space 4} .3986712{col 70}{space 3} 1.936322
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .8084935{col 29}{space 2} .1357891{col 40}{space 1}   -1.27{col 49}{space 3}0.206{col 57}{space 4} .5817207{col 70}{space 3} 1.123669
{txt}{space 9}social {c |}{col 17}{res}{space 2} 1.005088{col 29}{space 2} .1238202{col 40}{space 1}    0.04{col 49}{space 3}0.967{col 57}{space 4} .7894813{col 70}{space 3} 1.279577
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} .8557252{col 29}{space 2} .0652263{col 40}{space 1}   -2.04{col 49}{space 3}0.041{col 57}{space 4}  .736975{col 70}{space 3} .9936097
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} .9914606{col 29}{space 2} .1307332{col 40}{space 1}   -0.07{col 49}{space 3}0.948{col 57}{space 4} .7656613{col 70}{space 3}  1.28385
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .7528512{col 29}{space 2} .1360767{col 40}{space 1}   -1.57{col 49}{space 3}0.116{col 57}{space 4} .5282697{col 70}{space 3} 1.072908
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.425853{col 29}{space 2}  .219379{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} 1.054655{col 70}{space 3} 1.927698
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .4525771{col 29}{space 2}  .114982{col 40}{space 1}   -3.12{col 49}{space 3}0.002{col 57}{space 4} .2750653{col 70}{space 3} .7446453
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .6026709{col 29}{space 2} .1050723{col 40}{space 1}   -2.90{col 49}{space 3}0.004{col 57}{space 4} .4282309{col 70}{space 3} .8481691
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .4766193{col 29}{space 2} .0888019{col 40}{space 1}   -3.98{col 49}{space 3}0.000{col 57}{space 4} .3308103{col 70}{space 3} .6866955
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .7864463{col 29}{space 2}  .292642{col 40}{space 1}   -0.65{col 49}{space 3}0.519{col 57}{space 4} .3792549{col 70}{space 3} 1.630823
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.268648{col 29}{space 2} .4566937{col 40}{space 1}    0.66{col 49}{space 3}0.509{col 57}{space 4} .6265006{col 70}{space 3} 2.568979
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .9488145{col 29}{space 2} .1868828{col 40}{space 1}   -0.27{col 49}{space 3}0.790{col 57}{space 4} .6449482{col 70}{space 3} 1.395847
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .8215981{col 29}{space 2} .5467508{col 40}{space 1}   -0.30{col 49}{space 3}0.768{col 57}{space 4} .2229504{col 70}{space 3} 3.027684
{txt}{space 13}9  {c |}{col 17}{res}{space 2}   .39997{col 29}{space 2} .1401095{col 40}{space 1}   -2.62{col 49}{space 3}0.009{col 57}{space 4} .2013037{col 70}{space 3} .7947001
{txt}{space 12}10  {c |}{col 17}{res}{space 2}  .443319{col 29}{space 2}  .276672{col 40}{space 1}   -1.30{col 49}{space 3}0.192{col 57}{space 4} .1304632{col 70}{space 3} 1.506415
{txt}{space 12}11  {c |}{col 17}{res}{space 2} .9991988{col 29}{space 2} .6764896{col 40}{space 1}   -0.00{col 49}{space 3}0.999{col 57}{space 4} .2650704{col 70}{space 3}  3.76654
{txt}{space 12}12  {c |}{col 17}{res}{space 2} .7702709{col 29}{space 2} .6771037{col 40}{space 1}   -0.30{col 49}{space 3}0.767{col 57}{space 4} .1375302{col 70}{space 3} 4.314087
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .4204974{col 29}{space 2} .1080012{col 40}{space 1}   -3.37{col 49}{space 3}0.001{col 57}{space 4} .2541788{col 70}{space 3} .6956443
{txt}{space 12}14  {c |}{col 17}{res}{space 2} .6141354{col 29}{space 2}  .273301{col 40}{space 1}   -1.10{col 49}{space 3}0.273{col 57}{space 4} .2567229{col 70}{space 3} 1.469142
{txt}{space 12}15  {c |}{col 17}{res}{space 2} .9556382{col 29}{space 2} .8606001{col 40}{space 1}   -0.05{col 49}{space 3}0.960{col 57}{space 4} .1635852{col 70}{space 3} 5.582685
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .6396951{col 29}{space 2} .5090245{col 40}{space 1}   -0.56{col 49}{space 3}0.574{col 57}{space 4} .1344765{col 70}{space 3} 3.042983
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .4015208{col 29}{space 2} .2132969{col 40}{space 1}   -1.72{col 49}{space 3}0.086{col 57}{space 4} .1417525{col 70}{space 3} 1.137327
{txt}{space 12}19  {c |}{col 17}{res}{space 2} .2230492{col 29}{space 2} .0471705{col 40}{space 1}   -7.09{col 49}{space 3}0.000{col 57}{space 4}  .147363{col 70}{space 3} .3376081
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .9740185{col 29}{space 2} .3183077{col 40}{space 1}   -0.08{col 49}{space 3}0.936{col 57}{space 4}  .513329{col 70}{space 3} 1.848156
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 2.167194{col 29}{space 2} .6020424{col 40}{space 1}    2.78{col 49}{space 3}0.005{col 57}{space 4} 1.257291{col 70}{space 3} 3.735597
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .8397012{col 29}{space 2} .4331657{col 40}{space 1}   -0.34{col 49}{space 3}0.735{col 57}{space 4} .3055108{col 70}{space 3} 2.307932
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  .597011{col 29}{space 2} .2191733{col 40}{space 1}   -1.41{col 49}{space 3}0.160{col 57}{space 4}  .290731{col 70}{space 3} 1.225952
{txt}{space 13}5  {c |}{col 17}{res}{space 2}  .385345{col 29}{space 2} .2924519{col 40}{space 1}   -1.26{col 49}{space 3}0.209{col 57}{space 4} .0870649{col 70}{space 3} 1.705519
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .3835941{col 29}{space 2} .2343587{col 40}{space 1}   -1.57{col 49}{space 3}0.117{col 57}{space 4} .1158314{col 70}{space 3} 1.270333
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .0425244{col 29}{space 2} .0507839{col 40}{space 1}   -2.64{col 49}{space 3}0.008{col 57}{space 4} .0040936{col 70}{space 3} .4417424
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0971791{col 29}{space 2} .0438149{col 40}{space 1}    2.22{col 49}{space 3}0.027{col 57}{space 4} .0113034{col 70}{space 3} .1830547
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.102058{col 29}{space 2} .0482866{col 57}{space 4} 1.011368{col 70}{space 3}  1.20088
{txt}            1/p {c |}{col 17}{res}{space 2} .9073935{col 29}{space 2} .0397574{col 57}{space 4} .8327226{col 70}{space 3} .9887602
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" -- IDPRESOPPOSE==1 *
. lincomest (chair_pres1 * 0.1672002 +  1.sendivide#c.chair_pres1 * 0.1737406) - chair_pres1 * 0.1672002, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.1672002+1.sendivide#c.chair_pres1*0.1737406)-chair_pres1*0.1672002

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.081645{col 26}{space 2} .2621836{col 37}{space 1}    0.32{col 46}{space 3}0.746{col 54}{space 4} .6726033{col 67}{space 3} 1.739443
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD4b = r(table)
{txt}
{com}. mat list modelD4b
{res}
{txt}modelD4b[9,1]
               (1)
     b {res} 1.0816447
{txt}    se {res} .26218356
{txt}     z {res} .32378244
{txt}pvalue {res} .74610275
{txt}    ll {res} .67260325
{txt}    ul {res} 1.7394433
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. 
. 
. 
. **** CREATE FIGURE D2 BASED ON MARGINAL HAZARD RATIO ESTIMATE EFFECTS FROM MODELS D1.B - D4.B ****
. 
. **** FIGURE D2 ****
. 
. matrix C = J(4, 3, .)
{txt}
{com}. matrix coln C = Point ll95 ul95
{txt}
{com}. matrix rown C = 1 2 3 4
{txt}
{com}. 
. matrix C[1,1] = modelD1b[1,1]
{txt}
{com}. matrix C[1,2] = modelD1b[5,1]
{txt}
{com}. matrix C[1,3] = modelD1b[6,1]
{txt}
{com}. 
. matrix C[2,1] = modelD2b[1,1]
{txt}
{com}. matrix C[2,2] = modelD2b[5,1]
{txt}
{com}. matrix C[2,3] = modelD2b[6,1]
{txt}
{com}. 
. matrix C[3,1] = modelD3b[1,1]
{txt}
{com}. matrix C[3,2] = modelD3b[5,1]
{txt}
{com}. matrix C[3,3] = modelD3b[6,1]
{txt}
{com}. 
. matrix C[4,1] = modelD4b[1,1]
{txt}
{com}. matrix C[4,2] = modelD4b[5,1]
{txt}
{com}. matrix C[4,3] = modelD4b[6,1]
{txt}
{com}. 
. 
. **********
. 
. coefplot (matrix(C[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model D1.B" 2 "Model D2.B" 3 "Model D3.B" 4 "Model D4.B", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)4, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE D2", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Presidential Ideologically-Opposed Agencies)", size(small))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. 
. graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix D/FigureD2.gph", replace
{res}{txt}file {bf:/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix D/FigureD2.gph} saved

{com}. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. 
. *** 3. PRESIDENTIAL IDEOLOGICALLY-NEUTRAL AGENCIES ***
. 
. 
. 
. 
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D1.C: COX SEMIPARAMETRIC MODEL] --  IDPRESALLY==0  & IDPRESOPPOSE==0 *
. 
. stcox  c.committee_pres1##i.sendivide  pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev  if idpresoppose==0 & idpresally==0,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}  -28606.5
{txt}Iteration 1:  Log pseudolikelihood = {res}-28138.907
{txt}Iteration 2:  Log pseudolikelihood = {res}-28021.123
{txt}Iteration 3:  Log pseudolikelihood = {res}-28020.222
{txt}Iteration 4:  Log pseudolikelihood = {res}-28020.222
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-28020.222

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:5,248}{col 56}{txt}{lalign 13:Number of obs} = {res}{ralign 7:5,248}
{txt}No. of failures = {res}{ralign 7:3,655}
{txt}Time at risk    = {res}{ralign 7:564,529}
{col 56}{txt}{lalign 13:Wald chi2({res:17})} = {res}{ralign 7:6598.33}
{txt}Log pseudolikelihood = {res}-28020.222{col 56}{txt}{lalign 13:Prob > chi2} = {res}{ralign 7:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:18} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .3380356{col 29}{space 2} .1743475{col 40}{space 1}   -2.10{col 49}{space 3}0.035{col 57}{space 4} .1230102{col 70}{space 3} .9289317
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .4064941{col 29}{space 2} .1595436{col 40}{space 1}   -2.29{col 49}{space 3}0.022{col 57}{space 4} .1883514{col 70}{space 3} .8772831
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 3.117704{col 29}{space 2} 1.507635{col 40}{space 1}    2.35{col 49}{space 3}0.019{col 57}{space 4} 1.208419{col 70}{space 3} 8.043636
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 1.812978{col 29}{space 2} .9163334{col 40}{space 1}    1.18{col 49}{space 3}0.239{col 57}{space 4} .6732398{col 70}{space 3} 4.882197
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9920112{col 29}{space 2} .0187643{col 40}{space 1}   -0.42{col 49}{space 3}0.672{col 57}{space 4} .9559073{col 70}{space 3} 1.029479
{txt}committeestaf~e {c |}{col 17}{res}{space 2}   .99255{col 29}{space 2} .0040572{col 40}{space 1}   -1.83{col 49}{space 3}0.067{col 57}{space 4} .9846298{col 70}{space 3} 1.000534
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} 1.079535{col 29}{space 2} .1373954{col 40}{space 1}    0.60{col 49}{space 3}0.548{col 57}{space 4} .8412048{col 70}{space 3} 1.385388
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.000222{col 29}{space 2} .0031165{col 40}{space 1}    0.07{col 49}{space 3}0.943{col 57}{space 4} .9941324{col 70}{space 3} 1.006349
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 3.392681{col 29}{space 2} .3577777{col 40}{space 1}   11.58{col 49}{space 3}0.000{col 57}{space 4} 2.759173{col 70}{space 3} 4.171642
{txt}{space 3}preselection {c |}{col 17}{res}{space 2}  .685459{col 29}{space 2} .0442209{col 40}{space 1}   -5.85{col 49}{space 3}0.000{col 57}{space 4} .6040432{col 70}{space 3} .7778484
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8561759{col 29}{space 2} .0671794{col 40}{space 1}   -1.98{col 49}{space 3}0.048{col 57}{space 4} .7341315{col 70}{space 3} .9985093
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999547{col 29}{space 2} .0000469{col 40}{space 1}   -0.97{col 49}{space 3}0.334{col 57}{space 4} .9998627{col 70}{space 3} 1.000047
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0494307{col 29}{space 2} .0605853{col 40}{space 1}   -2.45{col 49}{space 3}0.014{col 57}{space 4} .0044742{col 70}{space 3} .5461109
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002657{col 29}{space 2}  .001449{col 40}{space 1}    1.84{col 49}{space 3}0.066{col 57}{space 4} .9998205{col 70}{space 3} 1.005501
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.074909{col 29}{space 2} .0532183{col 40}{space 1}    1.46{col 49}{space 3}0.145{col 57}{space 4} .9755036{col 70}{space 3} 1.184443
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9765748{col 29}{space 2} .0437841{col 40}{space 1}   -0.53{col 49}{space 3}0.597{col 57}{space 4} .8944219{col 70}{space 3} 1.066273
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .5389065{col 29}{space 2} .0610872{col 40}{space 1}   -5.45{col 49}{space 3}0.000{col 57}{space 4} .4315452{col 70}{space 3} .6729774
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} 1.000315{col 29}{space 2} .0732195{col 40}{space 1}    0.00{col 49}{space 3}0.997{col 57}{space 4} .8666264{col 70}{space 3} 1.154627
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2}  .727317{col 29}{space 2} .1143368{col 40}{space 1}   -2.03{col 49}{space 3}0.043{col 57}{space 4} .5344559{col 70}{space 3} .9897729
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .7575709{col 29}{space 2} .0799033{col 40}{space 1}   -2.63{col 49}{space 3}0.008{col 57}{space 4} .6160904{col 70}{space 3} .9315413
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .7982299{col 29}{space 2} .0470772{col 40}{space 1}   -3.82{col 49}{space 3}0.000{col 57}{space 4} .7110935{col 70}{space 3} .8960438
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9281967{col 29}{space 2} .1111747{col 40}{space 1}   -0.62{col 49}{space 3}0.534{col 57}{space 4} .7339853{col 70}{space 3} 1.173796
{txt}{space 9}social {c |}{col 17}{res}{space 2}  1.47689{col 29}{space 2} .3922948{col 40}{space 1}    1.47{col 49}{space 3}0.142{col 57}{space 4} .8775064{col 70}{space 3} 2.485686
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.257415{col 29}{space 2} .0923787{col 40}{space 1}    3.12{col 49}{space 3}0.002{col 57}{space 4} 1.088788{col 70}{space 3} 1.452159
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.026631{col 29}{space 2} .0523263{col 40}{space 1}    0.52{col 49}{space 3}0.606{col 57}{space 4} .9290297{col 70}{space 3} 1.134486
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8017365{col 29}{space 2} .0852078{col 40}{space 1}   -2.08{col 49}{space 3}0.038{col 57}{space 4} .6509786{col 70}{space 3} .9874078
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.255014{col 29}{space 2} .1019948{col 40}{space 1}    2.79{col 49}{space 3}0.005{col 57}{space 4} 1.070217{col 70}{space 3} 1.471722
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.375515{col 29}{space 2} .1515765{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4} 1.108322{col 70}{space 3} 1.707121
{txt}{space 13}3  {c |}{col 17}{res}{space 2}  .980903{col 29}{space 2} .1150188{col 40}{space 1}   -0.16{col 49}{space 3}0.869{col 57}{space 4} .7794994{col 70}{space 3} 1.234344
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 5.198707{col 29}{space 2} 1.088466{col 40}{space 1}    7.87{col 49}{space 3}0.000{col 57}{space 4} 3.448873{col 70}{space 3} 7.836344
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.195747{col 29}{space 2} .1990197{col 40}{space 1}    1.07{col 49}{space 3}0.283{col 57}{space 4} .8629106{col 70}{space 3} 1.656964
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.442089{col 29}{space 2} .2172875{col 40}{space 1}    2.43{col 49}{space 3}0.015{col 57}{space 4} 1.073338{col 70}{space 3} 1.937525
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.180504{col 29}{space 2}  .139335{col 40}{space 1}    1.41{col 49}{space 3}0.160{col 57}{space 4} .9366986{col 70}{space 3} 1.487766
{txt}{space 13}8  {c |}{col 17}{res}{space 2}  .668613{col 29}{space 2} .2281409{col 40}{space 1}   -1.18{col 49}{space 3}0.238{col 57}{space 4} .3425562{col 70}{space 3} 1.305022
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9679157{col 29}{space 2} .1291802{col 40}{space 1}   -0.24{col 49}{space 3}0.807{col 57}{space 4} .7451338{col 70}{space 3} 1.257306
{txt}{space 12}10  {c |}{col 17}{res}{space 2}  .741347{col 29}{space 2} .1776299{col 40}{space 1}   -1.25{col 49}{space 3}0.212{col 57}{space 4} .4635217{col 70}{space 3} 1.185695
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.025353{col 29}{space 2} .2711371{col 40}{space 1}    0.09{col 49}{space 3}0.925{col 57}{space 4} .6106432{col 70}{space 3} 1.721706
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.065504{col 29}{space 2} .3316718{col 40}{space 1}    0.20{col 49}{space 3}0.838{col 57}{space 4} .5788841{col 70}{space 3} 1.961185
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .8759553{col 29}{space 2} .1360456{col 40}{space 1}   -0.85{col 49}{space 3}0.394{col 57}{space 4} .6460718{col 70}{space 3} 1.187635
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 2.408604{col 29}{space 2}  .870416{col 40}{space 1}    2.43{col 49}{space 3}0.015{col 57}{space 4} 1.186206{col 70}{space 3} 4.890697
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.066668{col 29}{space 2} .4117265{col 40}{space 1}    0.17{col 49}{space 3}0.867{col 57}{space 4} .5005779{col 70}{space 3} 2.272936
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .9678167{col 29}{space 2} .2971298{col 40}{space 1}   -0.11{col 49}{space 3}0.915{col 57}{space 4} .5302313{col 70}{space 3} 1.766529
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .8433967{col 29}{space 2} .1268782{col 40}{space 1}   -1.13{col 49}{space 3}0.258{col 57}{space 4} .6280288{col 70}{space 3}  1.13262
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .5667918{col 29}{space 2} .1393623{col 40}{space 1}   -2.31{col 49}{space 3}0.021{col 57}{space 4} .3500507{col 70}{space 3} .9177328
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.570717{col 29}{space 2} .3172485{col 40}{space 1}    2.24{col 49}{space 3}0.025{col 57}{space 4} 1.057244{col 70}{space 3} 2.333571
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.546006{col 29}{space 2} .3994605{col 40}{space 1}    1.69{col 49}{space 3}0.092{col 57}{space 4} .9316994{col 70}{space 3}  2.56535
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.311081{col 29}{space 2} .3153939{col 40}{space 1}    1.13{col 49}{space 3}0.260{col 57}{space 4} .8182089{col 70}{space 3} 2.100848
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.132428{col 29}{space 2} .3097888{col 40}{space 1}    0.45{col 49}{space 3}0.649{col 57}{space 4}  .662452{col 70}{space 3} 1.935827
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .7179871{col 29}{space 2}  .251022{col 40}{space 1}   -0.95{col 49}{space 3}0.343{col 57}{space 4} .3618431{col 70}{space 3} 1.424666
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. 
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_committee_pres1 if e(sample) & sendivide==0, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.5386078      -.5386078
{txt} 5%    {res}-.4976805      -.5386078
{txt}10%    {res}-.4096805      -.5386078       {txt}Obs         {res}      2,680
{txt}25%    {res}-.3654062      -.5386078       {txt}Sum of wgt. {res}      2,680

{txt}50%    {res}-.2503832                      {txt}Mean          {res}-.1812327
                        {txt}Largest       Std. dev.     {res} .2288054
{txt}75%    {res}-.0025696       .4655938
{txt}90%    {res} .1603195       .4655938       {txt}Variance      {res} .0523519
{txt}95%    {res} .2121217        .490939       {txt}Skewness      {res} .6095612
{txt}99%    {res} .3563195        .490939       {txt}Kurtosis      {res} 2.322767
{txt}
{com}. sum wSenComm_committee_pres1 if e(sample) & sendivide==1, detail

                  {txt}wSenComm_committee_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.1966079      -.5386078
{txt} 5%    {res}-.0977183      -.2916805
{txt}10%    {res}-.0414062      -.2201461       {txt}Obs         {res}      2,568
{txt}25%    {res} .0904305      -.1966079       {txt}Sum of wgt. {res}      2,568

{txt}50%    {res} .2254305                      {txt}Mean          {res} .2004743
                        {txt}Largest       Std. dev.     {res} .1689435
{txt}75%    {res} .3289552        .490939
{txt}90%    {res} .4593195        .490939       {txt}Variance      {res} .0285419
{txt}95%    {res} .4655938        .490939       {txt}Skewness      {res} -.446308
{txt}99%    {res} .4706168        .676923       {txt}Kurtosis      {res}  2.90479
{txt}
{com}. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1" --  IDPRESALLY==0  & IDPRESOPPOSE==0 *
. lincomest (committee_pres1 * 0.3628366 +  1.sendivide#c.committee_pres1 * 0.2385247) - committee_pres1 * 0.3628366, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.3628366+1.sendivide#c.committee_pres1*0.2385247)-committee_pres1*0.3628366

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.311571{col 26}{space 2} .1512818{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} 1.046191{col 67}{space 3} 1.644269
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD1c = r(table)
{txt}
{com}. mat list modelD1c
{res}
{txt}modelD1c[9,1]
               (1)
     b {res} 1.3115711
{txt}    se {res} .15128177
{txt}     z {res}  2.351452
{txt}pvalue {res}  .0187003
{txt}    ll {res} 1.0461908
{txt}    ul {res} 1.6442686
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. 
. 
. 
. 
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D2.C: COX SEMIPARAMETRIC MODEL] --  IDPRESALLY==0  & IDPRESOPPOSE==0 *
. 
. stcox  c.chair_pres1##i.sendivide  pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency  i.kbcom_1  i.presrev  if idpresoppose==0 & idpresally==0,  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Iteration 0:  Log pseudolikelihood = {res}  -28606.5
{txt}Iteration 1:  Log pseudolikelihood = {res}-28137.329
{txt}Iteration 2:  Log pseudolikelihood = {res}-28017.757
{txt}Iteration 3:  Log pseudolikelihood = {res}-28016.866
{txt}Iteration 4:  Log pseudolikelihood = {res}-28016.865
{txt}Refining estimates:
Iteration 0:  Log pseudolikelihood = {res}-28016.865

{txt}Cox regression with Breslow method for ties

No. of subjects = {res}{ralign 7:5,248}{col 55}{txt}{lalign 13:Number of obs} = {res}{ralign 8:5,248}
{txt}No. of failures = {res}{ralign 7:3,655}
{txt}Time at risk    = {res}{ralign 7:564,529}
{col 55}{txt}{lalign 13:Wald chi2({res:17})} = {res}{ralign 8:15191.14}
{txt}Log pseudolikelihood = {res}-28016.865{col 55}{txt}{lalign 13:Prob > chi2} = {res}{ralign 8:0.0000}

{txt}{ralign 81:(Std. err. adjusted for {res:18} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2} .6389572{col 29}{space 2} .1669038{col 40}{space 1}   -1.71{col 49}{space 3}0.086{col 57}{space 4} .3829368{col 70}{space 3} 1.066146
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3689653{col 29}{space 2} .1120382{col 40}{space 1}   -3.28{col 49}{space 3}0.001{col 57}{space 4} .2034763{col 70}{space 3} .6690478
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 2.897889{col 29}{space 2} .9974809{col 40}{space 1}    3.09{col 49}{space 3}0.002{col 57}{space 4} 1.476013{col 70}{space 3} 5.689491
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 1.302878{col 29}{space 2} .6022663{col 40}{space 1}    0.57{col 49}{space 3}0.567{col 57}{space 4} .5265366{col 70}{space 3} 3.223879
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.001678{col 29}{space 2} .0040762{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4} .9937209{col 70}{space 3} 1.009699
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9915846{col 29}{space 2} .0049698{col 40}{space 1}   -1.69{col 49}{space 3}0.092{col 57}{space 4} .9818917{col 70}{space 3} 1.001373
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} 1.017712{col 29}{space 2} .1336001{col 40}{space 1}    0.13{col 49}{space 3}0.894{col 57}{space 4} .7868351{col 70}{space 3} 1.316335
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} .9999073{col 29}{space 2} .0027552{col 40}{space 1}   -0.03{col 49}{space 3}0.973{col 57}{space 4} .9945217{col 70}{space 3} 1.005322
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 3.490208{col 29}{space 2}  .362508{col 40}{space 1}   12.03{col 49}{space 3}0.000{col 57}{space 4} 2.847357{col 70}{space 3} 4.278197
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .6697225{col 29}{space 2} .0431693{col 40}{space 1}   -6.22{col 49}{space 3}0.000{col 57}{space 4} .5902387{col 70}{space 3} .7599099
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2} .8410632{col 29}{space 2} .0626192{col 40}{space 1}   -2.32{col 49}{space 3}0.020{col 57}{space 4} .7268664{col 70}{space 3} .9732013
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999508{col 29}{space 2} .0000486{col 40}{space 1}   -1.01{col 49}{space 3}0.311{col 57}{space 4} .9998555{col 70}{space 3} 1.000046
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0491612{col 29}{space 2} .0621047{col 40}{space 1}   -2.38{col 49}{space 3}0.017{col 57}{space 4} .0041334{col 70}{space 3} .5847014
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.002493{col 29}{space 2} .0013622{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4} .9998264{col 70}{space 3} 1.005166
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.074499{col 29}{space 2} .0509427{col 40}{space 1}    1.52{col 49}{space 3}0.130{col 57}{space 4} .9791518{col 70}{space 3} 1.179131
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9756776{col 29}{space 2} .0447515{col 40}{space 1}   -0.54{col 49}{space 3}0.591{col 57}{space 4} .8917932{col 70}{space 3} 1.067452
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .5382461{col 29}{space 2} .0608276{col 40}{space 1}   -5.48{col 49}{space 3}0.000{col 57}{space 4} .4313065{col 70}{space 3} .6717007
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9840689{col 29}{space 2} .0741338{col 40}{space 1}   -0.21{col 49}{space 3}0.831{col 57}{space 4} .8489872{col 70}{space 3} 1.140643
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .7322391{col 29}{space 2} .1198138{col 40}{space 1}   -1.90{col 49}{space 3}0.057{col 57}{space 4} .5313415{col 70}{space 3} 1.009095
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2}  .755551{col 29}{space 2} .0832509{col 40}{space 1}   -2.54{col 49}{space 3}0.011{col 57}{space 4} .6087986{col 70}{space 3} .9376785
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .8143672{col 29}{space 2} .0414139{col 40}{space 1}   -4.04{col 49}{space 3}0.000{col 57}{space 4} .7371115{col 70}{space 3} .8997199
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9281393{col 29}{space 2} .1078308{col 40}{space 1}   -0.64{col 49}{space 3}0.521{col 57}{space 4} .7391302{col 70}{space 3} 1.165481
{txt}{space 9}social {c |}{col 17}{res}{space 2} 1.502541{col 29}{space 2} .4248152{col 40}{space 1}    1.44{col 49}{space 3}0.150{col 57}{space 4} .8633064{col 70}{space 3} 2.615095
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.269359{col 29}{space 2}    .0942{col 40}{space 1}    3.21{col 49}{space 3}0.001{col 57}{space 4} 1.097529{col 70}{space 3}  1.46809
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.014487{col 29}{space 2} .0537221{col 40}{space 1}    0.27{col 49}{space 3}0.786{col 57}{space 4} .9144732{col 70}{space 3} 1.125438
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8022255{col 29}{space 2} .0836391{col 40}{space 1}   -2.11{col 49}{space 3}0.035{col 57}{space 4}   .65396{col 70}{space 3} .9841058
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.271728{col 29}{space 2}  .105909{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4} 1.080206{col 70}{space 3} 1.497207
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.359498{col 29}{space 2} .1238694{col 40}{space 1}    3.37{col 49}{space 3}0.001{col 57}{space 4} 1.137161{col 70}{space 3} 1.625305
{txt}{space 13}3  {c |}{col 17}{res}{space 2}  1.01448{col 29}{space 2} .0710964{col 40}{space 1}    0.21{col 49}{space 3}0.837{col 57}{space 4} .8842807{col 70}{space 3} 1.163851
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 4.928118{col 29}{space 2} 1.057584{col 40}{space 1}    7.43{col 49}{space 3}0.000{col 57}{space 4} 3.236022{col 70}{space 3} 7.504999
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.272575{col 29}{space 2} .2052275{col 40}{space 1}    1.49{col 49}{space 3}0.135{col 57}{space 4} .9277064{col 70}{space 3} 1.745646
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.515116{col 29}{space 2} .1953085{col 40}{space 1}    3.22{col 49}{space 3}0.001{col 57}{space 4} 1.176848{col 70}{space 3} 1.950614
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.262126{col 29}{space 2} .1517866{col 40}{space 1}    1.94{col 49}{space 3}0.053{col 57}{space 4} .9970912{col 70}{space 3} 1.597609
{txt}{space 13}8  {c |}{col 17}{res}{space 2}  .806689{col 29}{space 2} .2660852{col 40}{space 1}   -0.65{col 49}{space 3}0.515{col 57}{space 4} .4226088{col 70}{space 3} 1.539833
{txt}{space 13}9  {c |}{col 17}{res}{space 2} 1.000845{col 29}{space 2} .1197139{col 40}{space 1}    0.01{col 49}{space 3}0.994{col 57}{space 4} .7916845{col 70}{space 3} 1.265265
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .8259405{col 29}{space 2} .2298129{col 40}{space 1}   -0.69{col 49}{space 3}0.492{col 57}{space 4} .4787482{col 70}{space 3}  1.42492
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.201334{col 29}{space 2}  .319299{col 40}{space 1}    0.69{col 49}{space 3}0.490{col 57}{space 4} .7135518{col 70}{space 3} 2.022564
{txt}{space 12}12  {c |}{col 17}{res}{space 2}  1.25532{col 29}{space 2} .4451384{col 40}{space 1}    0.64{col 49}{space 3}0.521{col 57}{space 4} .6264945{col 70}{space 3} 2.515312
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .9466984{col 29}{space 2} .1254048{col 40}{space 1}   -0.41{col 49}{space 3}0.679{col 57}{space 4} .7302254{col 70}{space 3} 1.227344
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.998689{col 29}{space 2} .6724036{col 40}{space 1}    2.06{col 49}{space 3}0.040{col 57}{space 4} 1.033671{col 70}{space 3} 3.864635
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.226004{col 29}{space 2} .5016282{col 40}{space 1}    0.50{col 49}{space 3}0.618{col 57}{space 4} .5498153{col 70}{space 3} 2.733802
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.106624{col 29}{space 2} .3782633{col 40}{space 1}    0.30{col 49}{space 3}0.767{col 57}{space 4} .5662972{col 70}{space 3} 2.162497
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .8089241{col 29}{space 2}   .13521{col 40}{space 1}   -1.27{col 49}{space 3}0.205{col 57}{space 4} .5829498{col 70}{space 3} 1.122495
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .5607905{col 29}{space 2} .1483297{col 40}{space 1}   -2.19{col 49}{space 3}0.029{col 57}{space 4} .3339311{col 70}{space 3} .9417688
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.623825{col 29}{space 2} .3041494{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} 1.124879{col 70}{space 3} 2.344083
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.559483{col 29}{space 2} .4089301{col 40}{space 1}    1.69{col 49}{space 3}0.090{col 57}{space 4} .9327757{col 70}{space 3} 2.607258
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.222497{col 29}{space 2} .3451523{col 40}{space 1}    0.71{col 49}{space 3}0.477{col 57}{space 4} .7029508{col 70}{space 3} 2.126037
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.235375{col 29}{space 2} .3820673{col 40}{space 1}    0.68{col 49}{space 3}0.494{col 57}{space 4} .6738227{col 70}{space 3} 2.264915
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .9094832{col 29}{space 2} .3038632{col 40}{space 1}   -0.28{col 49}{space 3}0.776{col 57}{space 4} .4725021{col 70}{space 3} 1.750595
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. * DESCRIPTIVE STATISTICS FOR EACH PARTISAN CONTROL REGIME *
. sum wSenComm_chair_pres1 if e(sample) & sendivide==0, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.7163319      -.7163319
{txt} 5%    {res}-.5493055      -.7163319
{txt}10%    {res}-.5463055      -.7163319       {txt}Obs         {res}      2,680
{txt}25%    {res}-.4647167      -.7163319       {txt}Sum of wgt. {res}      2,680

{txt}50%    {res} -.383961                      {txt}Mean          {res}-.3168985
                        {txt}Largest       Std. dev.     {res} .2387913
{txt}75%    {res}-.1827927       .6940686
{txt}90%    {res}-.0447927       .6940686       {txt}Variance      {res} .0570213
{txt}95%    {res} .1718941       .6940686       {txt}Skewness      {res} 1.739211
{txt}99%    {res} .6122074       .6940686       {txt}Kurtosis      {res} 7.060668
{txt}
{com}. sum wSenComm_chair_pres1 if e(sample) & sendivide==1, detail

                    {txt}wSenComm_chair_pres1
{hline 61}
      Percentiles      Smallest
 1%    {res}-.2693319      -.7163319
{txt} 5%    {res}-.0833319      -.4493055
{txt}10%    {res} .0763208       -.411764       {txt}Obs         {res}      2,568
{txt}25%    {res} .2439651      -.3632139       {txt}Sum of wgt. {res}      2,568

{txt}50%    {res} .3532833                      {txt}Mean          {res} .3495791
                        {txt}Largest       Std. dev.     {res} .2110173
{txt}75%    {res} .4892833       .7534087
{txt}90%    {res} .6122074       .7534087       {txt}Variance      {res} .0445283
{txt}95%    {res} .6940686       .7534087       {txt}Skewness      {res}-.6587827
{txt}99%    {res} .7534087       .8284615       {txt}Kurtosis      {res} 3.772153
{txt}
{com}. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" --  IDPRESALLY==0  & IDPRESOPPOSE==0 *
. lincomest (chair_pres1 * 0.281924 +  1.sendivide#c.chair_pres1 * 0.2453182) - chair_pres1 * 0.281924, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.281924+1.sendivide#c.chair_pres1*0.2453182)-chair_pres1*0.281924

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.298246{col 26}{space 2}  .109625{col 37}{space 1}    3.09{col 46}{space 3}0.002{col 54}{space 4} 1.100223{col 67}{space 3}  1.53191
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD2c = r(table)
{txt}
{com}. mat list modelD2c
{res}
{txt}modelD2c[9,1]
               (1)
     b {res} 1.2982463
{txt}    se {res}   .109625
{txt}     z {res} 3.0910911
{txt}pvalue {res} .00199422
{txt}    ll {res} 1.1002235
{txt}    ul {res}   1.53191
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. 
. 
. 
. 
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. 
. * SENATE COMMITTEE MEDIAN PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D3.C: WEIBULL PARAMETRIC MODEL] --  IDPRESALLY==0  & IDPRESOPPOSE==0 *
. 
. streg  c.committee_pres1##i.sendivide   pressenfloorabsdist  experience_median  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency i.kbcom_1 i.presrev if idpresoppose==0 & idpresally==0,  distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-7597.1308
{txt}Iteration 1:  Log pseudolikelihood = {res}-7566.1489
{txt}Iteration 2:  Log pseudolikelihood = {res}-7566.1425
{txt}Iteration 3:  Log pseudolikelihood = {res}-7566.1425

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-7566.1425}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-7067.2238}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-6929.9524}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-6927.1547}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-6927.1515}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-6927.1515}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:5,248}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:5,248}
{txt}No. of failures = {res}{ralign 7:3,655}
{txt}Time at risk    = {res}{ralign 7:564,529}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(15)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-6927.1515{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:18} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
committee_pres1 {c |}{col 17}{res}{space 2} .2812669{col 29}{space 2} .1801234{col 40}{space 1}   -1.98{col 49}{space 3}0.048{col 57}{space 4} .0801695{col 70}{space 3}  .986798
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3425654{col 29}{space 2} .1506146{col 40}{space 1}   -2.44{col 49}{space 3}0.015{col 57}{space 4}   .14471{col 70}{space 3} .8109396
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 13}c. {c |}
committee_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 4.350384{col 29}{space 2} 2.318834{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} 1.530459{col 70}{space 3} 12.36612
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} 1.650081{col 29}{space 2} 1.091444{col 40}{space 1}    0.76{col 49}{space 3}0.449{col 57}{space 4} .4513142{col 70}{space 3} 6.032974
{txt}experience_me~n {c |}{col 17}{res}{space 2} .9978651{col 29}{space 2} .0214149{col 40}{space 1}   -0.10{col 49}{space 3}0.921{col 57}{space 4} .9567631{col 70}{space 3} 1.040733
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9930977{col 29}{space 2} .0048975{col 40}{space 1}   -1.40{col 49}{space 3}0.160{col 57}{space 4} .9835451{col 70}{space 3} 1.002743
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} 1.015853{col 29}{space 2} .1278651{col 40}{space 1}    0.12{col 49}{space 3}0.901{col 57}{space 4} .7937621{col 70}{space 3} 1.300084
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.001116{col 29}{space 2} .0035914{col 40}{space 1}    0.31{col 49}{space 3}0.756{col 57}{space 4} .9941017{col 70}{space 3}  1.00818
{txt}{space 8}first90 {c |}{col 17}{res}{space 2} 2.987129{col 29}{space 2} .3044897{col 40}{space 1}   10.74{col 49}{space 3}0.000{col 57}{space 4} 2.446176{col 70}{space 3}  3.64771
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7916729{col 29}{space 2} .0536786{col 40}{space 1}   -3.45{col 49}{space 3}0.001{col 57}{space 4} .6931559{col 70}{space 3}  .904192
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2}  .870879{col 29}{space 2} .0740501{col 40}{space 1}   -1.63{col 49}{space 3}0.104{col 57}{space 4} .7371925{col 70}{space 3} 1.028809
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999181{col 29}{space 2} .0000438{col 40}{space 1}   -1.87{col 49}{space 3}0.062{col 57}{space 4} .9998323{col 70}{space 3} 1.000004
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0294486{col 29}{space 2} .0400173{col 40}{space 1}   -2.59{col 49}{space 3}0.009{col 57}{space 4}  .002053{col 70}{space 3} .4224246
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.003338{col 29}{space 2} .0015931{col 40}{space 1}    2.10{col 49}{space 3}0.036{col 57}{space 4} 1.000221{col 70}{space 3} 1.006466
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.092789{col 29}{space 2} .0555702{col 40}{space 1}    1.74{col 49}{space 3}0.081{col 57}{space 4} .9891248{col 70}{space 3} 1.207317
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9708828{col 29}{space 2} .0502483{col 40}{space 1}   -0.57{col 49}{space 3}0.568{col 57}{space 4} .8772284{col 70}{space 3} 1.074536
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .5061103{col 29}{space 2} .0570174{col 40}{space 1}   -6.04{col 49}{space 3}0.000{col 57}{space 4} .4058359{col 70}{space 3} .6311607
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9430865{col 29}{space 2} .0756631{col 40}{space 1}   -0.73{col 49}{space 3}0.465{col 57}{space 4} .8058612{col 70}{space 3} 1.103679
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .6565015{col 29}{space 2} .1260524{col 40}{space 1}   -2.19{col 49}{space 3}0.028{col 57}{space 4} .4506088{col 70}{space 3} .9564709
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .6853465{col 29}{space 2} .0702992{col 40}{space 1}   -3.68{col 49}{space 3}0.000{col 57}{space 4} .5605295{col 70}{space 3} .8379574
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .7702307{col 29}{space 2} .0482895{col 40}{space 1}   -4.16{col 49}{space 3}0.000{col 57}{space 4}  .681169{col 70}{space 3} .8709371
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9687132{col 29}{space 2} .1159671{col 40}{space 1}   -0.27{col 49}{space 3}0.791{col 57}{space 4} .7661182{col 70}{space 3} 1.224883
{txt}{space 9}social {c |}{col 17}{res}{space 2} 1.664833{col 29}{space 2} .4547918{col 40}{space 1}    1.87{col 49}{space 3}0.062{col 57}{space 4} .9746374{col 70}{space 3} 2.843794
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.213365{col 29}{space 2} .0961806{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} 1.038768{col 70}{space 3} 1.417308
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.095013{col 29}{space 2} .0642648{col 40}{space 1}    1.55{col 49}{space 3}0.122{col 57}{space 4} .9760304{col 70}{space 3}   1.2285
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2} .8580529{col 29}{space 2} .1023579{col 40}{space 1}   -1.28{col 49}{space 3}0.199{col 57}{space 4} .6791621{col 70}{space 3} 1.084063
{txt}policy_majage~y {c |}{col 17}{res}{space 2}  1.26283{col 29}{space 2}  .141831{col 40}{space 1}    2.08{col 49}{space 3}0.038{col 57}{space 4} 1.013316{col 70}{space 3} 1.573784
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2}  1.39881{col 29}{space 2} .1835605{col 40}{space 1}    2.56{col 49}{space 3}0.011{col 57}{space 4} 1.081581{col 70}{space 3} 1.809084
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9282297{col 29}{space 2} .1311292{col 40}{space 1}   -0.53{col 49}{space 3}0.598{col 57}{space 4}  .703733{col 70}{space 3} 1.224343
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 3.627886{col 29}{space 2}  .690114{col 40}{space 1}    6.77{col 49}{space 3}0.000{col 57}{space 4} 2.498814{col 70}{space 3} 5.267121
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.204393{col 29}{space 2} .2370746{col 40}{space 1}    0.94{col 49}{space 3}0.345{col 57}{space 4} .8188724{col 70}{space 3} 1.771414
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.586846{col 29}{space 2} .2644434{col 40}{space 1}    2.77{col 49}{space 3}0.006{col 57}{space 4} 1.144681{col 70}{space 3} 2.199809
{txt}{space 13}7  {c |}{col 17}{res}{space 2} 1.285982{col 29}{space 2} .1763244{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4} .9829344{col 70}{space 3} 1.682463
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .6272909{col 29}{space 2} .2280754{col 40}{space 1}   -1.28{col 49}{space 3}0.200{col 57}{space 4} .3075973{col 70}{space 3}  1.27925
{txt}{space 13}9  {c |}{col 17}{res}{space 2}  .926786{col 29}{space 2} .1552123{col 40}{space 1}   -0.45{col 49}{space 3}0.650{col 57}{space 4} .6674604{col 70}{space 3} 1.286866
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .6663189{col 29}{space 2} .1852156{col 40}{space 1}   -1.46{col 49}{space 3}0.144{col 57}{space 4} .3864337{col 70}{space 3} 1.148919
{txt}{space 12}11  {c |}{col 17}{res}{space 2} .9785901{col 29}{space 2} .2823254{col 40}{space 1}   -0.08{col 49}{space 3}0.940{col 57}{space 4} .5559393{col 70}{space 3}  1.72256
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.012149{col 29}{space 2} .3860656{col 40}{space 1}    0.03{col 49}{space 3}0.975{col 57}{space 4} .4792578{col 70}{space 3} 2.137566
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .8623868{col 29}{space 2} .1316092{col 40}{space 1}   -0.97{col 49}{space 3}0.332{col 57}{space 4} .6394402{col 70}{space 3} 1.163066
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 2.098728{col 29}{space 2} .6870804{col 40}{space 1}    2.26{col 49}{space 3}0.024{col 57}{space 4} 1.104816{col 70}{space 3} 3.986778
{txt}{space 12}15  {c |}{col 17}{res}{space 2} .9891439{col 29}{space 2} .4556718{col 40}{space 1}   -0.02{col 49}{space 3}0.981{col 57}{space 4} .4009904{col 70}{space 3} 2.439973
{txt}{space 12}16  {c |}{col 17}{res}{space 2} .9641211{col 29}{space 2} .3607035{col 40}{space 1}   -0.10{col 49}{space 3}0.922{col 57}{space 4} .4630995{col 70}{space 3} 2.007192
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .7214741{col 29}{space 2} .1177494{col 40}{space 1}   -2.00{col 49}{space 3}0.045{col 57}{space 4} .5239611{col 70}{space 3} .9934419
{txt}{space 12}20  {c |}{col 17}{res}{space 2}  .526099{col 29}{space 2} .1335877{col 40}{space 1}   -2.53{col 49}{space 3}0.011{col 57}{space 4} .3198375{col 70}{space 3} .8653775
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.775181{col 29}{space 2} .3666378{col 40}{space 1}    2.78{col 49}{space 3}0.005{col 57}{space 4} 1.184239{col 70}{space 3} 2.661007
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.616037{col 29}{space 2} .4725865{col 40}{space 1}    1.64{col 49}{space 3}0.101{col 57}{space 4} .9110239{col 70}{space 3} 2.866637
{txt}{space 13}4  {c |}{col 17}{res}{space 2} 1.501847{col 29}{space 2} .4002323{col 40}{space 1}    1.53{col 49}{space 3}0.127{col 57}{space 4}  .890812{col 70}{space 3} 2.532009
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.369693{col 29}{space 2} .4198631{col 40}{space 1}    1.03{col 49}{space 3}0.305{col 57}{space 4} .7510994{col 70}{space 3}  2.49775
{txt}{space 13}6  {c |}{col 17}{res}{space 2} .8550827{col 29}{space 2} .3503012{col 40}{space 1}   -0.38{col 49}{space 3}0.702{col 57}{space 4} .3830866{col 70}{space 3} 1.908619
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}  .158673{col 29}{space 2} .1369167{col 40}{space 1}   -2.13{col 49}{space 3}0.033{col 57}{space 4} .0292424{col 70}{space 3}   .86098
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0318599{col 29}{space 2}  .015827{col 40}{space 1}    2.01{col 49}{space 3}0.044{col 57}{space 4} .0008396{col 70}{space 3} .0628802
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.032373{col 29}{space 2} .0163393{col 57}{space 4}  1.00084{col 70}{space 3} 1.064899
{txt}            1/p {c |}{col 17}{res}{space 2} .9686423{col 29}{space 2} .0153307{col 57}{space 4}  .939056{col 70}{space 3} .9991608
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. *
. *
. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_committee_pres1" --  IDPRESALLY==0  & IDPRESOPPOSE==0 *
. lincomest (committee_pres1 * 0.3628366 +  1.sendivide#c.committee_pres1 * 0.2385247) - committee_pres1 * 0.3628366, eform(hr)
{txt}Confidence interval for formula:
{res}(committee_pres1*0.3628366+1.sendivide#c.committee_pres1*0.2385247)-committee_pres1*0.3628366

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.420053{col 26}{space 2} .1805427{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} 1.106839{col 67}{space 3} 1.821901
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD3c = r(table)
{txt}
{com}. mat list modelD3c
{res}
{txt}modelD3c[9,1]
               (1)
     b {res} 1.4200531
{txt}    se {res} .18054275
{txt}     z {res} 2.7583745
{txt}pvalue {res} .00580896
{txt}    ll {res} 1.1068391
{txt}    ul {res} 1.8219006
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. 
. 
. 
. 
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * SENATE COMMITTEE CHAIR PREFERENCE DISTANCE & UNIFIED/DIVIDED PARTISAN CONTROL OF SENATE & PRESIDENCY [MODEL D4.C: WEIBULL PARAMETRIC MODEL] --  IDPRESALLY==0  & IDPRESOPPOSE==0 *
. 
. streg  c.chair_pres1##i.sendivide   pressenfloorabsdist  chair_experience_1  committeestaffsize ln_combills_workload   pres_app_m first90 preselection lameduck    kv_workload  polarization  workload      female priorconfirm denied  x_itier_2 x_itier_3 x_itier_4 defense infrastructure social fvra firstrecess secondrecess policy_majagency   i.kbcom_1  i.presrev if idpresoppose==0 & idpresally==0, distribution(weibull)  vce(cluster kbcom_1)

{col 9}{txt}Failure {bf:_d}: {res}confirmbinary
{col 3}{txt}Analysis time {bf:_t}: {res}legvetdur2plus1

{txt}Fitting constant-only model:
Iteration 0:  Log pseudolikelihood = {res}-7597.1308
{txt}Iteration 1:  Log pseudolikelihood = {res}-7566.1489
{txt}Iteration 2:  Log pseudolikelihood = {res}-7566.1425
{txt}Iteration 3:  Log pseudolikelihood = {res}-7566.1425

{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-7566.1425}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-7064.5523}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-6924.7406}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-6921.8731}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-6921.8699}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-6921.8699}  
{res}
{txt}Weibull PH regression

No. of subjects = {res}{ralign 7:5,248}{col 57}{txt}{lalign 13:Number of obs} = {res}{ralign 6:5,248}
{txt}No. of failures = {res}{ralign 7:3,655}
{txt}Time at risk    = {res}{ralign 7:564,529}
{col 57}{txt}{lalign 13:{help j_robustsingular##|_new:Wald chi2(15)}} = {res}{ralign 6:.}
{txt}Log pseudolikelihood = {res}-6921.8699{col 57}{txt}{lalign 13:Prob > chi2} = {res}{ralign 6:.}

{txt}{ralign 81:(Std. err. adjusted for {res:18} clusters in {res:kbcom_1})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}             _t{col 17}{c |} Haz. ratio{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}chair_pres1 {c |}{col 17}{res}{space 2}  .719036{col 29}{space 2} .2214376{col 40}{space 1}   -1.07{col 49}{space 3}0.284{col 57}{space 4} .3931975{col 70}{space 3} 1.314893
{txt}{space 4}1.sendivide {c |}{col 17}{res}{space 2} .3367395{col 29}{space 2} .1130901{col 40}{space 1}   -3.24{col 49}{space 3}0.001{col 57}{space 4} .1743523{col 70}{space 3} .6503698
{txt}{space 15} {c |}
{space 6}sendivide#{c |}
{space 2}c.chair_pres1 {c |}
{space 13}1  {c |}{col 17}{res}{space 2} 3.244335{col 29}{space 2} 1.183732{col 40}{space 1}    3.23{col 49}{space 3}0.001{col 57}{space 4} 1.586921{col 70}{space 3} 6.632788
{txt}{space 15} {c |}
pressenfloora~t {c |}{col 17}{res}{space 2} .8870686{col 29}{space 2} .4914035{col 40}{space 1}   -0.22{col 49}{space 3}0.829{col 57}{space 4} .2995179{col 70}{space 3} 2.627191
{txt}chair_experie~1 {c |}{col 17}{res}{space 2} 1.002264{col 29}{space 2} .0041815{col 40}{space 1}    0.54{col 49}{space 3}0.588{col 57}{space 4} .9941015{col 70}{space 3} 1.010493
{txt}committeestaf~e {c |}{col 17}{res}{space 2} .9927865{col 29}{space 2} .0059483{col 40}{space 1}   -1.21{col 49}{space 3}0.227{col 57}{space 4} .9811963{col 70}{space 3} 1.004514
{txt}ln_combills_w~d {c |}{col 17}{res}{space 2} .9380269{col 29}{space 2} .1351146{col 40}{space 1}   -0.44{col 49}{space 3}0.657{col 57}{space 4} .7073056{col 70}{space 3} 1.244009
{txt}{space 5}pres_app_m {c |}{col 17}{res}{space 2} 1.000343{col 29}{space 2} .0030692{col 40}{space 1}    0.11{col 49}{space 3}0.911{col 57}{space 4} .9943451{col 70}{space 3} 1.006376
{txt}{space 8}first90 {c |}{col 17}{res}{space 2}  3.06887{col 29}{space 2} .2884196{col 40}{space 1}   11.93{col 49}{space 3}0.000{col 57}{space 4} 2.552587{col 70}{space 3} 3.689576
{txt}{space 3}preselection {c |}{col 17}{res}{space 2} .7719634{col 29}{space 2} .0551226{col 40}{space 1}   -3.62{col 49}{space 3}0.000{col 57}{space 4} .6711446{col 70}{space 3} .8879271
{txt}{space 7}lameduck {c |}{col 17}{res}{space 2}  .853442{col 29}{space 2} .0779849{col 40}{space 1}   -1.73{col 49}{space 3}0.083{col 57}{space 4} .7134998{col 70}{space 3} 1.020832
{txt}{space 4}kv_workload {c |}{col 17}{res}{space 2} .9999196{col 29}{space 2} .0000474{col 40}{space 1}   -1.70{col 49}{space 3}0.090{col 57}{space 4} .9998267{col 70}{space 3} 1.000013
{txt}{space 3}polarization {c |}{col 17}{res}{space 2} .0205131{col 29}{space 2} .0294066{col 40}{space 1}   -2.71{col 49}{space 3}0.007{col 57}{space 4} .0012353{col 70}{space 3} .3406228
{txt}{space 7}workload {c |}{col 17}{res}{space 2} 1.003167{col 29}{space 2}   .00153{col 40}{space 1}    2.07{col 49}{space 3}0.038{col 57}{space 4} 1.000172{col 70}{space 3}  1.00617
{txt}{space 9}female {c |}{col 17}{res}{space 2}  1.09329{col 29}{space 2} .0532978{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4}  .993664{col 70}{space 3} 1.202906
{txt}{space 3}priorconfirm {c |}{col 17}{res}{space 2} .9680292{col 29}{space 2} .0531453{col 40}{space 1}   -0.59{col 49}{space 3}0.554{col 57}{space 4} .8692747{col 70}{space 3} 1.078003
{txt}{space 9}denied {c |}{col 17}{res}{space 2} .5036345{col 29}{space 2} .0574963{col 40}{space 1}   -6.01{col 49}{space 3}0.000{col 57}{space 4} .4026614{col 70}{space 3} .6299281
{txt}{space 6}x_itier_2 {c |}{col 17}{res}{space 2} .9214105{col 29}{space 2} .0807539{col 40}{space 1}   -0.93{col 49}{space 3}0.350{col 57}{space 4} .7759835{col 70}{space 3} 1.094092
{txt}{space 6}x_itier_3 {c |}{col 17}{res}{space 2} .6577001{col 29}{space 2} .1294637{col 40}{space 1}   -2.13{col 49}{space 3}0.033{col 57}{space 4} .4471721{col 70}{space 3} .9673442
{txt}{space 6}x_itier_4 {c |}{col 17}{res}{space 2} .6845182{col 29}{space 2} .0755098{col 40}{space 1}   -3.44{col 49}{space 3}0.001{col 57}{space 4} .5514273{col 70}{space 3} .8497316
{txt}{space 8}defense {c |}{col 17}{res}{space 2} .7932494{col 29}{space 2} .0427862{col 40}{space 1}   -4.29{col 49}{space 3}0.000{col 57}{space 4} .7136705{col 70}{space 3} .8817018
{txt}{space 1}infrastructure {c |}{col 17}{res}{space 2} .9668819{col 29}{space 2} .1136166{col 40}{space 1}   -0.29{col 49}{space 3}0.774{col 57}{space 4} .7679806{col 70}{space 3} 1.217297
{txt}{space 9}social {c |}{col 17}{res}{space 2} 1.694166{col 29}{space 2} .4998232{col 40}{space 1}    1.79{col 49}{space 3}0.074{col 57}{space 4} .9502315{col 70}{space 3} 3.020527
{txt}{space 11}fvra {c |}{col 17}{res}{space 2} 1.231134{col 29}{space 2} .0970777{col 40}{space 1}    2.64{col 49}{space 3}0.008{col 57}{space 4} 1.054839{col 70}{space 3} 1.436893
{txt}{space 4}firstrecess {c |}{col 17}{res}{space 2} 1.080502{col 29}{space 2} .0660212{col 40}{space 1}    1.27{col 49}{space 3}0.205{col 57}{space 4} .9585508{col 70}{space 3} 1.217968
{txt}{space 3}secondrecess {c |}{col 17}{res}{space 2}  .860098{col 29}{space 2}  .100111{col 40}{space 1}   -1.29{col 49}{space 3}0.195{col 57}{space 4} .6846561{col 70}{space 3} 1.080497
{txt}policy_majage~y {c |}{col 17}{res}{space 2} 1.286851{col 29}{space 2} .1477899{col 40}{space 1}    2.20{col 49}{space 3}0.028{col 57}{space 4} 1.027474{col 70}{space 3} 1.611705
{txt}{space 15} {c |}
{space 8}kbcom_1 {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.329588{col 29}{space 2} .1469549{col 40}{space 1}    2.58{col 49}{space 3}0.010{col 57}{space 4} 1.070623{col 70}{space 3} 1.651192
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .9426721{col 29}{space 2} .0821019{col 40}{space 1}   -0.68{col 49}{space 3}0.498{col 57}{space 4} .7947406{col 70}{space 3} 1.118139
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  3.35959{col 29}{space 2} .7587361{col 40}{space 1}    5.37{col 49}{space 3}0.000{col 57}{space 4}  2.15799{col 70}{space 3} 5.230259
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.277965{col 29}{space 2} .2532757{col 40}{space 1}    1.24{col 49}{space 3}0.216{col 57}{space 4} .8666072{col 70}{space 3} 1.884586
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.676795{col 29}{space 2} .2386077{col 40}{space 1}    3.63{col 49}{space 3}0.000{col 57}{space 4} 1.268686{col 70}{space 3} 2.216185
{txt}{space 13}7  {c |}{col 17}{res}{space 2}  1.40644{col 29}{space 2} .2000423{col 40}{space 1}    2.40{col 49}{space 3}0.016{col 57}{space 4} 1.064271{col 70}{space 3} 1.858619
{txt}{space 13}8  {c |}{col 17}{res}{space 2} .7772881{col 29}{space 2}  .289482{col 40}{space 1}   -0.68{col 49}{space 3}0.499{col 57}{space 4} .3746043{col 70}{space 3}  1.61284
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .9458521{col 29}{space 2} .1434034{col 40}{space 1}   -0.37{col 49}{space 3}0.713{col 57}{space 4} .7027002{col 70}{space 3} 1.273141
{txt}{space 12}10  {c |}{col 17}{res}{space 2} .7276341{col 29}{space 2} .2309344{col 40}{space 1}   -1.00{col 49}{space 3}0.316{col 57}{space 4} .3906261{col 70}{space 3} 1.355392
{txt}{space 12}11  {c |}{col 17}{res}{space 2} 1.186814{col 29}{space 2} .3694703{col 40}{space 1}    0.55{col 49}{space 3}0.582{col 57}{space 4} .6447519{col 70}{space 3} 2.184603
{txt}{space 12}12  {c |}{col 17}{res}{space 2} 1.153773{col 29}{space 2} .5006338{col 40}{space 1}    0.33{col 49}{space 3}0.742{col 57}{space 4} .4929186{col 70}{space 3} 2.700631
{txt}{space 12}13  {c |}{col 17}{res}{space 2} .9527687{col 29}{space 2} .1389636{col 40}{space 1}   -0.33{col 49}{space 3}0.740{col 57}{space 4} .7158758{col 70}{space 3} 1.268053
{txt}{space 12}14  {c |}{col 17}{res}{space 2} 1.624746{col 29}{space 2} .5373545{col 40}{space 1}    1.47{col 49}{space 3}0.142{col 57}{space 4} .8497019{col 70}{space 3} 3.106738
{txt}{space 12}15  {c |}{col 17}{res}{space 2} 1.142813{col 29}{space 2} .5770699{col 40}{space 1}    0.26{col 49}{space 3}0.791{col 57}{space 4}  .424772{col 70}{space 3}  3.07464
{txt}{space 12}16  {c |}{col 17}{res}{space 2} 1.072098{col 29}{space 2} .4405356{col 40}{space 1}    0.17{col 49}{space 3}0.865{col 57}{space 4} .4791454{col 70}{space 3} 2.398842
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .7030804{col 29}{space 2} .1324996{col 40}{space 1}   -1.87{col 49}{space 3}0.062{col 57}{space 4} .4859495{col 70}{space 3} 1.017229
{txt}{space 12}20  {c |}{col 17}{res}{space 2} .5303913{col 29}{space 2} .1469953{col 40}{space 1}   -2.29{col 49}{space 3}0.022{col 57}{space 4} .3080989{col 70}{space 3}  .913067
{txt}{space 15} {c |}
{space 8}presrev {c |}
{space 13}2  {c |}{col 17}{res}{space 2} 1.842128{col 29}{space 2} .3528169{col 40}{space 1}    3.19{col 49}{space 3}0.001{col 57}{space 4} 1.265587{col 70}{space 3} 2.681315
{txt}{space 13}3  {c |}{col 17}{res}{space 2} 1.602452{col 29}{space 2} .4694149{col 40}{space 1}    1.61{col 49}{space 3}0.107{col 57}{space 4} .9024808{col 70}{space 3} 2.845326
{txt}{space 13}4  {c |}{col 17}{res}{space 2}  1.41834{col 29}{space 2} .4501337{col 40}{space 1}    1.10{col 49}{space 3}0.271{col 57}{space 4}  .761443{col 70}{space 3} 2.641942
{txt}{space 13}5  {c |}{col 17}{res}{space 2} 1.535194{col 29}{space 2} .5344423{col 40}{space 1}    1.23{col 49}{space 3}0.218{col 57}{space 4} .7759564{col 70}{space 3} 3.037312
{txt}{space 13}6  {c |}{col 17}{res}{space 2} 1.174471{col 29}{space 2} .4605879{col 40}{space 1}    0.41{col 49}{space 3}0.682{col 57}{space 4} .5445401{col 70}{space 3} 2.533114
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .2472552{col 29}{space 2}  .229619{col 40}{space 1}   -1.50{col 49}{space 3}0.132{col 57}{space 4} .0400551{col 70}{space 3} 1.526274
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/ln_p {c |}{col 17}{res}{space 2} .0336298{col 29}{space 2} .0165199{col 40}{space 1}    2.04{col 49}{space 3}0.042{col 57}{space 4} .0012514{col 70}{space 3} .0660082
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              p {c |}{col 17}{res}{space 2} 1.034202{col 29}{space 2} .0170849{col 57}{space 4} 1.001252{col 70}{space 3} 1.068236
{txt}            1/p {c |}{col 17}{res}{space 2} .9669294{col 29}{space 2} .0159736{col 57}{space 4} .9361232{col 70}{space 3} .9987494
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. *
. 
. 
. ** CONDITIONAL COEFFICIENT ANALYSIS TESTS: DIRECTION [+] ** 
. 
. * DIFFERENCE BETWEEN DIVIDED AND UNIFIED PARTISAN CONTROL OF SENATE & PRESIDENCY: INTERQUARTILE UNIT CHANGE IN "wSenComm_chair_pres1" --  IDPRESALLY==0  & IDPRESOPPOSE==0 *
. lincomest (chair_pres1 * 0.281924 +  1.sendivide#c.chair_pres1 * 0.2453182) - chair_pres1 * 0.281924, eform(hr)
{txt}Confidence interval for formula:
{res}(chair_pres1*0.281924+1.sendivide#c.chair_pres1*0.2453182)-chair_pres1*0.281924

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.334715{col 26}{space 2} .1194664{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} 1.119953{col 67}{space 3} 1.590659
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix modelD4c = r(table)
{txt}
{com}. mat list modelD4c
{res}
{txt}modelD4c[9,1]
               (1)
     b {res} 1.3347146
{txt}    se {res} .11946645
{txt}     z {res} 3.2256379
{txt}pvalue {res} .00125692
{txt}    ll {res} 1.1199531
{txt}    ul {res} 1.5906587
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         1
{reset}
{com}. *
. *
. 
. 
. 
. **** CREATE FIGURE D3 BASED ON MARGINAL HAZARD RATIO ESTIMATE EFFECTS FROM MODELS D3.C - D4.C ****
. 
. **** FIGURE D3 ****
. 
. matrix E = J(4, 3, .)
{txt}
{com}. matrix coln E = Point ll95 ul95
{txt}
{com}. matrix rown E = 1 2 3 4
{txt}
{com}. 
. matrix E[1,1] = modelD1c[1,1]
{txt}
{com}. matrix E[1,2] = modelD1c[5,1]
{txt}
{com}. matrix E[1,3] = modelD1c[6,1]
{txt}
{com}. 
. matrix E[2,1] = modelD2c[1,1]
{txt}
{com}. matrix E[2,2] = modelD2c[5,1]
{txt}
{com}. matrix E[2,3] = modelD2c[6,1]
{txt}
{com}. 
. matrix E[3,1] = modelD3c[1,1]
{txt}
{com}. matrix E[3,2] = modelD3c[5,1]
{txt}
{com}. matrix E[3,3] = modelD3c[6,1]
{txt}
{com}. 
. matrix E[4,1] = modelD4c[1,1]
{txt}
{com}. matrix E[4,2] = modelD4c[5,1]
{txt}
{com}. matrix E[4,3] = modelD4c[6,1]
{txt}
{com}. 
. 
. **********
. 
. coefplot (matrix(E[,1]), ci((2 3))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model D1.C" 2 "Model D2.C" 3 "Model D3.C" 4 "Model D4.C", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE D3", size(med)) ciopts(lcolor(black)) legend(off) subtitle("Differential Partisan Control Effects of Committee-President Ideological Distance" "(Presidential Ideologically-Neutral Agencies)", size(small))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. 
. graph save "Graph" "/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix D/FigureD3.gph", replace
{res}{txt}file {bf:/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Graphics/Appendix D/FigureD3.gph} saved

{com}. 
. 
. 
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. 
. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/jasonbyers/Dropbox/Jason Byers/Co-Authored Projects/Projects with George Krause/Krause Projects/Confirmation Dynamics Project/Confirmation Delay & Senate Committees/2023 Version/Fall 2024/Statistics/Output/Committee Delay.APPENDIX D RESULTS.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}25 Dec 2024, 21:59:46
{txt}{.-}
{smcl}
{txt}{sf}{ul off}